Evidence map›Paper›PMID 32566547›Full record

ArticleCanadian journal of gastroenterology & hepatology2020

Effect of Melatonin as an Antioxidant Drug to Reverse Hepatic Steatosis: Experimental Model.

Blanca Martínez Soriano, Antonio Güemes, Guillermo Pola, Azucena Gonzalo, Pilar Palacios Gasós, Ana C Navarro, Roberto Martínez-Beamonte, Jesús Osada, José J García

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of gastroenterology & hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 13 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

9 authors at 3 institutions in 1 country.

Blanca Martínez SorianoDepartment of Surgery, University Hospital Lozano Blesa, Zaragoza, Spain.ORCID 0000-0002-5649-8843
Antonio GüemesDepartment of Surgery, University Hospital Lozano Blesa, Zaragoza, Spain.
Guillermo PolaDepartment of Surgery, General Defense Hospital, Zaragoza, Spain.
Azucena GonzaloDepartment of Surgery, University Hospital Lozano Blesa, Zaragoza, Spain.
Pilar Palacios GasósDepartment of Surgery, University Hospital Lozano Blesa, Zaragoza, Spain.
Ana C NavarroDepartment of Surgery, University Hospital Lozano Blesa, Zaragoza, Spain.
Roberto Martínez-BeamonteCIBER (Biomedical Net Investigation Centre), Obesity and Nutrition Physiopathology, Madrid, Spain.
Jesús OsadaDepartment of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain.ORCID 0000-0002-8251-8457
José J GarcíaDepartment of Physiology, University of Zaragoza, Zaragoza, Spain.
Hospital Clínico Universitario Lozano Blesa · ESUniversidad de Zaragoza · ESSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The hepatic steatosis of the nonalcoholic origin or NAFLD is increasing at present, particularly in Western countries, parallel to the increase in obesity, constituting one of the most prevalent hepatic processes in the Western society. Melatonin has been successfully tested in experimental models in mice as a drug capable of reversing steatosis. The effect of melatonin on fat metabolism can be summarized as a decrease in lipid peroxidation and a decrease in oxidative stress, biochemical phenomena intimately related to fat deposition in the hepatocyte. There are hardly any studies in large animals. Objective: In this study, we investigate the effects of melatonin administered orally at a dose of 10 mg/kg/day to reverse established hepatic steatosis induced by a special diet in a porcine animal model. Materials and Methods: We analyze the parameters of oxidative stress: malondialdehyde (MDA), 4-hydroxyalkenals (4-HDA), and carbonyls, degree of fat infiltration (analyzed by direct vision by a pathologist and by means of a computer program of image treatment), and serological parameters of lipid metabolism and hepatic damage. These parameters were analyzed in animals to which hepatic steatosis was induced by means of dietary modifications. Results: We have not been able to demonstrate globally a beneficial effect of melatonin in the improvement or reversal of liver steatosis once established, induced by diet in a porcine animal model. However, we have found several signs of improvement at the histological level, at the level of lipid metabolism, and at the level of oxidative stress parameters. We have verified in our study that, in the histological analysis of the liver sample by means of the program image treatment (free of subjectivity) of the animals that continue with the diet, those that consume melatonin do not increase steatosis as much as those that do not consume it significantly ( Conclusions: In this study, it has not been possible to demonstrate a beneficial effect of melatonin in the improvement or reversal of liver steatosis once established and induced by diet in the porcine model. It is true that signs of improvement have been found at the histological level, at the level of lipid metabolism, and at the level of oxidative stress phenomena, when comparing animals with established steatosis that are treated with melatonin with those who do not take it. This work is the first study conducted in a large animal model in which the effect of melatonin is studied as a treatment in the reversal of established hepatic steatosis.

Indexed as

AnimalsAntioxidantsDiet, High-FatDisease Models, AnimalLipid MetabolismLiverMelatoninNon-alcoholic Fatty Liver DiseaseOxidative StressSwineAntioxidantsMelatonin

Identifiers

PMID32566547
PMCPMC7293725
OpenAlexW3033401851

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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.