Evidence map›Paper›PMID 39195527›Full record

ArticleMetabolites2024

Evaluation of Unsaponifiable Fraction of Avocado Oil on Liver and Kidney Mitochondrial Function in Rats Fed a High-Fat and High-Carbohydrate Diet.

Marcela González-Montoya, Manuel Alejandro Vargas-Vargas, Olin Torres-Isidro, Claudia Isabel García-Berumen, María Guadalupe Cuiniche-Méndez, Alfredo Saavedra-Molina, Julio Cesar Ontiveros-Rodríguez, Hugo A García-Gutiérrez, Elizabeth Calderón-Cortés, Christian Cortés-Rojo

Abstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Anti-Aging Potential of Avocado Oil via Its Antioxidant Effects.Pharmaceuticals (Basel, Switzerland) · 2025
    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

10 authors.

Marcela González-MontoyaInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0000-0001-9604-5622
Manuel Alejandro Vargas-VargasInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0000-0003-3239-123X
Olin Torres-IsidroInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0009-0004-8813-5619
Claudia Isabel García-BerumenInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.
María Guadalupe Cuiniche-MéndezInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.
Alfredo Saavedra-MolinaInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0000-0002-0811-2950
Julio Cesar Ontiveros-RodríguezConsejo Nacional de Humanidades, Ciencias y Tecnologías-Instituto de Investigaciones Químico Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.
Hugo A García-GutiérrezInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0000-0003-2841-0135
Elizabeth Calderón-CortésFacultad de Enfermería, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58020, MC, Mexico.
Christian Cortés-RojoInstituto de Investigaciones Químico-Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, MC, Mexico.ORCID 0000-0002-4850-772X

Funding

Estancias Posdoctorales por Mexico 2022, Consejo Nacional de Humanidades, Ciencia y Tecnología (CONAHCYT) 472544Estancias Posdoctorales por Mexico 2023, Consejo Nacional de Humanidades, Ciencia y Tecnología (CONAHCYT) 589763Instituto de Ciencia, Tecnología e Innovación - Gobierno del Estado de Michoacán, México. ICTI PICIR23-028Instituto de Ciencia, Tecnología e Innovación - Gobierno del Estado de Michoacán, México. ICTI-PICIR23-063Programa Proyectos de Investigación financiados 2024, Coordinación de Investigación Científica, Universidad Michoacana de San Nicolás de Hidalgo, México. 7973911
6 · The paper itself

Abstract

High-fat and high-carbohydrate (HF-HC) diets induce metabolic syndrome via mitochondrial dysfunction and oxidative stress. We have previously shown that this may be prevented by avocado oil, a source of bioactive molecules with antioxidant properties. However, it is unknown if these effects are mediated by the unsaponifiable fraction of avocado oil (UFAO). Thus, we tested if this fraction improves glucose metabolism, bioenergetics and oxidative stress in mitochondria from the kidney and liver of rats fed an HF-HC diet. We found that 12 weeks of an HF-HC diet impaired glucose utilization and increased insulin resistance, which was prevented by UFAO administration. The HF-HC diet decreased respiration, membrane potential and electron transport chain (ETC) function in liver and kidney mitochondria. These mitochondrial dysfunctions were prevented by UFAO intake. Unexpectedly, UFAO increased ROS levels in the mitochondria of control animals and did not decrease them in rats with an HF-HC diet; however, UFAO protects liver and kidney mitochondria from iron-induced oxidative stress. These findings suggest that impairments in glucose metabolism and mitochondrial function by an HF-HC diet may be prevented by UFAO, without decreasing ROS generation but protecting mitochondria from oxidative damage.

Indexed as

avocado oilhigh-carbohydrate diethigh-fat dietmetabolic syndromemitochondriaunsaponifiable fraction

Identifiers

PMID39195527
PMCPMC11487379

What OpenQuestion holds

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LicenceCC BY
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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.