Evidence map›Paper›PMID 41516177›Full record

ArticleInternational journal of molecular sciences2025

Transcriptomic Analysis of High-Intensity Interval Training in High-Fat-Diet-Induced Spontaneous Hypertensive Rats' Brains.

Arslan Sadiq, Iqbal Ali Shah, Bor-Tsang Wu, Yi-Yuan Lin, Yi-An Su, Ai-Lun Yang, Shin-Da Lee

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Arslan SadiqGraduate Institute of Acupuncture Sciences, China Medical University, Taichung 404328, Taiwan.
Iqbal Ali ShahPhD Program in Healthcare Science, China Medical University, Taichung 406040, Taiwan.ORCID 0009-0009-7457-9792
Bor-Tsang WuDepartment of Senior Citizen Service Management, National Taichung University of Science and Technology, Taichung 404336, Taiwan.
Yi-Yuan LinDepartment of Exercise and Health Science, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.ORCID 0000-0002-6147-0183
Yi-An SuInstitute of Sports Sciences, University of Taipei, Taipei 11153, Taiwan.
Ai-Lun YangInstitute of Sports Sciences, University of Taipei, Taipei 11153, Taiwan.
Shin-Da LeePhD Program in Healthcare Science, China Medical University, Taichung 406040, Taiwan.ORCID 0000-0002-8393-8349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension contributes to brain dysfunction through apoptosis, oxidative stress, reduced neuronal connectivity, and neurotransmitter imbalance. Exercise training is a non-pharmacological strategy known to modulate these molecular alterations. This study investigated the effects of high-intensity interval training (HIIT) on transcriptomic changes in the cerebral cortex of spontaneously hypertensive rats (SHR) fed a high-fat diet (HFD). Rats were assigned to either a HIIT intervention group (HIIT-HFD-SHR) or a sedentary control group (HFD-SHR). Cortical RNA was extracted, sequenced using the Illumina NovaSeq 6000 platform, and analyzed with DESeq2. Functional enrichment was conducted using Metascape. RNA-seq identified 1223 differentially expressed genes (DEGs) (adjusted

Indexed as

BrainDiet, High-FatGene Expression ProfilingHigh-Intensity Interval TrainingHypertensionPhysical Conditioning, AnimalTranscriptomeAnimalsCerebral CortexGene Expression RegulationMaleRatsRats, Inbred SHRapoptosisbrain cortexexercise traininggene analysishypertension

Identifiers

PMID41516177
PMCPMC12785774

What Socratic 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 Socratic graph.