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.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.2field-weighted citation impact, top 5% 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
3 citing papers in PubMed, 42 citations in OpenAlex.
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 at 3 institutions in 1 country.
Ana Guzmán-CarrascoDepartment of Physiology, Institute of Nutrition and Food Technology (INyTA), Biomedical Research Center (CIBM), Sport and Health University Research Institute (IMUDS), Universidad de Granada, 18016 Granada, Spain.ORCID 0000-0003-2727-8793
Garyfallia KapravelouDepartment of Physiology, Institute of Nutrition and Food Technology (INyTA), Biomedical Research Center (CIBM), Sport and Health University Research Institute (IMUDS), Universidad de Granada, 18016 Granada, Spain.ORCID 0000-0001-8414-9723
María López-JuradoDepartment of Physiology, Institute of Nutrition and Food Technology (INyTA), Biomedical Research Center (CIBM), Sport and Health University Research Institute (IMUDS), Universidad de Granada, 18016 Granada, Spain.
Francisco BermúdezCellbitec S.L., N.I.F. B04847216, Scientific Headquarters of the Almería Technology Park, Universidad de Almería, 04128 Almería, Spain.
Eduardo Andrés-LeónBioinformatics Unit, Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN), Consejo Superior de Investigaciones Científicas (CSIC), 18016 Granada, Spain.ORCID 0000-0002-0621-9914
Laura C Terrón-CameroBioinformatics Unit, Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN), Consejo Superior de Investigaciones Científicas (CSIC), 18016 Granada, Spain.ORCID 0000-0002-9746-8800
José PradosDepartment of Anatomy and Embryology, Faculty of Medicine, Institute of Biopathology and Regenerative Medicine (IBIMER), Biomedical Research (CIBM), Instituto Biosanitario de Granada (ibs.GRANADA), University of Granada, 18016 Granada, Spain.ORCID 0000-0003-4303-7746
Consolación MelguizoDepartment of Anatomy and Embryology, Faculty of Medicine, Institute of Biopathology and Regenerative Medicine (IBIMER), Biomedical Research (CIBM), Instituto Biosanitario de Granada (ibs.GRANADA), University of Granada, 18016 Granada, Spain.ORCID 0000-0003-3990-806X
Jesus M PorresDepartment of Physiology, Institute of Nutrition and Food Technology (INyTA), Biomedical Research Center (CIBM), Sport and Health University Research Institute (IMUDS), Universidad de Granada, 18016 Granada, Spain.ORCID 0000-0001-5657-0764
Rosario MartínezDepartment of Physiology, Institute of Nutrition and Food Technology (INyTA), Biomedical Research Center (CIBM), Sport and Health University Research Institute (IMUDS), Universidad de Granada, 18016 Granada, Spain.ORCID 0000-0003-2032-1621
Universidad de Granada · ESConsejo Superior de Investigaciones Científicas · ESUniversity of Almería · ES
Funding
Consejería de Universidad, Investigación e Innovación P18-TP-1420Ministerio de Ciencia e Innovación PID2022-141291OB-I00Ministerio de Ciencia e Innovación RTC2019-006870-1Ministerio de Ciencia e Innovación TED2021-131241A-I00
6 · The paper itself
Abstract
The prevalence of obesity increases alarmingly every year mostly due to external factors such as high-fat and high-refined sugar intake associated with a sedentary lifestyle. It triggers metabolic disorders such as insulin resistance, hyperlipemia, non-alcoholic fatty liver disease, chronic inflammation, oxidative stress, and gut microbiota dysbiosis. The aim of this study was to evaluate the beneficial effects of a combined intervention with caloric restriction, nutraceutical intake, and a mixed training protocol on oxidative stress, inflammation, and gut dysbiosis derived from the development of obesity in a C57BL6/J mouse experimental model of diet-induced obesity (4.6 Kcal/g diet, 45% Kcal as fat, and 20% fructose in the drinking fluid). The nutraceutical was formulated with ethanolic extracts of
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.
A Novel Plant-Based Nutraceutical Combined with Exercise Can Revert Oxidative Status in Plasma and Liver in a Diet-Induced-Obesity Animal Model. · full record | OpenQuestion