Evidence map›Paper›PMID 36479483›Full record

ReviewJournal of preventive medicine and hygiene2022

Polymorphisms, diet and nutrigenomics.

Aysha Karim Kiani, Gabriele Bonetti, Kevin Donato, Jurgen Kaftalli, Karen L Herbst, Liborio Stuppia, Francesco Fioretti, Savina Nodari, Marco Perrone, Pietro Chiurazzi and 3 more

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of preventive medicine and hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 51 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

13 authors at 7 institutions in 2 countries.

Aysha Karim KianiMAGI EUREGIO, Bolzano, Italy.
Gabriele BonettiMAGI'S LAB, Rovereto (TN), Italy.
Kevin DonatoMAGI EUREGIO, Bolzano, Italy.
Jurgen KaftalliMAGI EUREGIO, Bolzano, Italy.
Karen L HerbstTotal Lipedema Care, Beverly Hills California and Tucson Arizona, USA.
Liborio StuppiaDepartment of Psychological, Health and Territorial Sciences, School of Medicine and Health Sciences, "G. d'Annunzio" University, Chieti, Italy.
Francesco FiorettiDepartment of Cardiology, University of Brescia and ASST "Spedali Civili" Hospital, Brescia, Italy.
Savina NodariDepartment of Cardiology, University of Brescia and ASST "Spedali Civili" Hospital, Brescia, Italy.
Marco PerroneDepartment of Cardiology and CardioLab, University of Rome Tor Vergata, Rome, Italy.
Pietro ChiurazziIstituto di Medicina Genomica, Università Cattolica del Sacro Cuore, Rome, Italy.
Francesco BellinatoSection of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy.
Paolo GisondiSection of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy.
Matteo BertelliMAGI EUREGIO, Bolzano, Italy.
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversity of Verona · ITBiocure (United States) · USCenter for Neuroscience and Cognitive Systems · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Chieti-Pescara · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every human being possesses an exclusive nutritional blueprint inside their genes. Bioactive food components and nutrients affect the expression of such genes. Nutrigenomics is the science that analyzes gene-nutrient interactions (nutrigenetics), which can lead to the development of personalized nutritional recommendations to maintain optimal health and prevent disease. Genomic diversity among various ethnic groups might affect nutrients bioavailability as well as their metabolism. Nutrigenomics combines different branches of science including nutrition, bioinformatics, genomics, molecular biology, molecular medicine, and epidemiology. Genes regulate intake and metabolism of different nutrients, while nutrients positively or negatively influence the expression of a number of genes; testing of specific genetic polymorphisms may therefore become a useful tool to manage weight loss and to fully understand gene-nutrient interactions. Indeed, several approaches are used to study gene-nutrient interactions: epigenetics, the study of genome modification not related to changes in nucleotide sequence; transcriptomics, the study of tissue-specific and time-specific RNA transcripts; proteomics, the study of proteins involved in biological processes; and metabolomics, the study of changes of primary and secondary metabolites in body fluids and tissues. Hence, the use of nutrigenomics to improve and optimize a healthy, balanced diet in clinical settings could be an effective approach for long-term lifestyle changes that might lead to consistent weight loss and improve quality of life.

Indexed as

DietNutrigenomicsPolymorphism, GeneticWeight LossHumansQuality of LifeMetabolomicsNutrigeneticsNutrigenomicsPhysical activityPrecision nutrition

Identifiers

PMID36479483
PMCPMC9710387
OpenAlexW4312065223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.