Evidence map›Paper›PMID 32714508›Full record

ReviewInternational journal of obesity supplements2020

Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.

Luigi Barrea, Giuseppe Annunziata, Laura Bordoni, Giovanna Muscogiuri, Annamaria Colao, Silvia Savastano, Obesity Programs of nutrition, Education, Research and Assessment (OPERA) Group

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in International journal of obesity supplements, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05210023 (Effect of a Nutrigenetic Intervention on Blood Lipid Markers and Body Composition of Adults With Overweight and Obesity), which is not on this map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT05210023 nacompletednot on this mapstarted 2021, after this paper: background citation

Effect of a Nutrigenetic Intervention on Blood Lipid Markers and Body Composition of Adults With Overweight and Obesity

TypeinterventionalSponsorInstituto Tecnológico y de Estudios Superiores de OccidenteRan2021 to 2021Enrolled101ConditionsDyslipidemias, Overweight and ObesityArmsNUTRIGENETIC DIET INTERVENTION, CONVENTIONAL DIET INTERVENTION
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  12. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
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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

7 authors at 3 institutions in 1 country.

Luigi BarreaDipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-9054-456X
Giuseppe AnnunziataDepartment of Pharmacy, University of Naples "Federico II", Via Domenico Montesano 49, 80131 Naples, Italy.ORCID 0000-0002-1922-662X
Laura BordoniUnit of Molecular Biology, School of Pharmacy, University of Camerino, 62032 Camerino, Macerata Italy.ORCID 0000-0001-6968-1164
Giovanna MuscogiuriDipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-8809-4931
Annamaria ColaoDipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-6986-266X
Silvia SavastanoDipartimento di Medicina Clinica e Chirurgia, Unit of Endocrinology, Federico II University Medical School of Naples, Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-3211-4307
Obesity Programs of nutrition, Education, Research and Assessment (OPERA) Group
Federico II University Hospital · ITUniversità di Camerino · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological data support the view that both obesity and cardiovascular diseases (CVD) account for a high proportion of total morbidity and mortality in adults throughout the world. Obesity and CVD have complex interplay mechanisms of genetic and environmental factors, including diet. Nutrition is an environmental factor and it has a predominant and recognizable role in health management and in the prevention of obesity and obesity-related diseases, including CVD. However, there is a marked variation in CVD in patients with obesity and the same dietary pattern. The different genetic polymorphisms could explain this variation, which leads to the emergence of the concept of nutrigenetics. Nutritional genomics or nutrigenetics is the science that studies and characterizes gene variants associated with differential response to specific nutrients and relating this variation to various diseases, such as CVD related to obesity. Thus, the personalized nutrition recommendations, based on the knowledge of an individual's genetic background, might improve the outcomes of a specific dietary intervention and represent a new dietary approach to improve health, reducing obesity and CVD. Given these premises, it is intuitive to suppose that the elucidation of diet and gene interactions could support more specific and effective dietary interventions in both obesity and CVD prevention through personalized nutrition based on nutrigenetics. This review aims to briefly summarize the role of the most important genes associated with obesity and CVD and to clarify the knowledge about the relation between nutrition and gene expression and the role of the main nutrition-related genes in obesity and CVD.

Identifiers

PMID32714508
PMCPMC7371677
OpenAlexW3042372852

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.