Evidence map›Paper›PMID 39649797›Full record

ArticleBiochemistry and biophysics reports2024

Comparative effects of metformin and varying intensities of exercise on miR-133a expression in diabetic rats: Insights from machine learning analysis.

Elahe Alivaisi, Sabrieh Amini, Karimeh Haghani, Hori Ghaneialvar, Fatemeh Keshavarzi

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2024. 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. 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

5 authors.

Elahe AlivaisiDepartment of Biology, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
Sabrieh AminiDepartment of Biology, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
Karimeh HaghaniDepartment of Clinical Biochemistry, School of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Hori GhaneialvarBiotechnology and Medicinal Plants Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Fatemeh KeshavarziDepartment of Biology, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of metformin, high-intensity interval training (HIIT), and moderate-intensity continuous training (MCT) on miR-133a expression in a diabetic rat model. miR-133a, a microRNA associated with skeletal muscle insulin resistance, served as a key indicator of treatment efficacy. Diabetic rats exhibited elevated miR-133a levels compared to healthy controls. Both HIIT and MCT, alone and in combination with metformin, significantly reduced miR-133a expression. Importantly, the combination of HIIT and metformin demonstrated the most potent effect, reducing miR-133a levels more than other treatments. We used the CatBoost algorithm to develop a predictive model for miR-133a expression based on metabolic parameters. The model accurately predicted miR-133a levels using body weight, blood glucose, insulin levels, and cholesterol metrics. The findings suggest a potential clinical strategy combining metformin and exercise, with miR-133a potentially serving as a biomarker for personalized diabetes management.

Indexed as

DiabetesHIITMachine learningMCTMetforminmiR-133a

Identifiers

PMID39649797
PMCPMC11625223

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Registered trials

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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.