Evidence map›Paper›PMID 39594468›Full record

ArticleAntioxidants (Basel, Switzerland)2024

Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model.

Danila Di Majo, Nicolò Ricciardi, Alessandra Moncada, Mario Allegra, Monica Frinchi, Valentina Di Liberto, Rosa Pitonzo, Francesca Rappa, Filippo Saiano, Filippo Vetrano and 5 more

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

15 authors.

Danila Di MajoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-0533-6932
Nicolò RicciardiDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.
Alessandra MoncadaDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-7451-7342
Mario AllegraPostgraduate School of Nutrition and Food Science, University of Palermo, 90100 Palermo, Italy.ORCID 0000-0002-5846-1868
Monica FrinchiDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-1061-5725
Valentina Di LibertoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-8574-0061
Rosa PitonzoATeN (Advanced Technologies Network) Center, 90128 Palermo, Italy.ORCID 0000-0002-5951-5856
Francesca RappaDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-6610-5268
Filippo SaianoDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-6873-3698
Filippo VetranoDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90128 Palermo, Italy.
Alessandro MiceliDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-9034-1201
Giuseppe GigliaDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-5616-3595
Giuseppe FerraroDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.
Pierangelo SardoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-4997-3263
Giuditta GambinoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-8155-2808

Funding

INCENTIVI AD ATTIVITA' DI RICERCA INTERDISCIPLINARE DR41862023 1105/2023
6 · The paper itself

Abstract

Golden tomato (GT), harvested at the veraison stage, has gained attention due to its rich content of bioactive compounds and potential health benefits. Previous studies have highlighted GT's antioxidant properties and its positive effects on metabolic syndrome (MetS), a condition characterized by obesity, dyslipidemia, and oxidative stress. This study investigates for the first time a derivative from GT, i.e., the juice (GTJ), which could be a potential candidate for development as a functional food. We first characterized GT juice, identifying 9-oxo-10(E),12(E)-octadecadienoic (9-oxo-10(E),12(E)-ODA) fatty acid, a known peroxisome proliferator-activated receptor alpha (PPAR-α) agonist, using High-Performance Liquid Chromatography (HPLC)-mass spectrometry. Then, using a high-fat-diet (HFD) rat model, we assessed the impact of daily GT juice supplementation in addressing MetS. We outlined that GTJ improved body weight and leptin-mediated food intake. Moreover, it ameliorated glucose tolerance, lipid profile, systemic redox homeostasis, hepatic oxidative stress, and steatosis in HFD rats. Furthermore, GT juice enhances the hepatic transcription of PPAR-α, thus putatively promoting fatty acid oxidation and lipid metabolism. These findings suggest that GT juice mitigates lipidic accumulation and putatively halters oxidative species at the hepatic level through PPAR-α activation. Our study underscores the protective effects of GT juice against MetS, highlighting its future potential as a nutraceutical for improving dysmetabolism and associated alterations.

Indexed as

functional foodleptinmetabolic syndromeoxidative stressoxylipinPPAR-α

Identifiers

PMID39594468
PMCPMC11591511

What OpenQuestion holds

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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.