Evidence map›Paper›PMID 31782487›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2020

Perspective: Metabotyping-A Potential Personalized Nutrition Strategy for Precision Prevention of Cardiometabolic Disease.

Marie Palmnäs, Carl Brunius, Lin Shi, Agneta Rostgaard-Hansen, Núria Estanyol Torres, Raúl González-Domínguez, Raul Zamora-Ros, Ye Lingqun Ye, Jytte Halkjær, Anne Tjønneland and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.8field-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.

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

44 citing papers in PubMed, 83 citations in OpenAlex.

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  16. Recent advances in precision nutrition and cardiometabolic diseases.Revista espanola de cardiologia (English ed.) · 2025
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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

17 authors at 8 institutions in 5 countries.

Marie PalmnäsDepartment of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.
Carl BruniusDepartment of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.
Lin ShiDepartment of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.
Agneta Rostgaard-HansenDepartment of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.
Núria Estanyol TorresBiomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences, and Gastronomy, Institute for Research on Nutrition and Food Safety, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
Raúl González-DomínguezBiomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences, and Gastronomy, Institute for Research on Nutrition and Food Safety, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
Raul Zamora-RosBiomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences, and Gastronomy, Institute for Research on Nutrition and Food Safety, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
Ye Lingqun YeDepartment of Biology and Biological Engineering, Division of Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.
Jytte HalkjærDiet, Genes, and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
Anne TjønnelandDiet, Genes, and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
Gabriele RiccardiDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
Rosalba GiaccoInstitute of Food Science, Italian National Research Council, Avellino, Italy.
Giuseppina CostabileDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
Claudia VetraniDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
Jens NielsenDepartment of Biology and Biological Engineering, Division of Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.
Cristina Andres-LacuevaBiomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences, and Gastronomy, Institute for Research on Nutrition and Food Safety, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
Rikard LandbergDepartment of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.
Chalmers University of Technology · SEUniversity of Naples Federico II · ITDanish Cancer Society · DKUniversitat de Barcelona · ESCentro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable · ESInstitute of Food Science · ITInstituto de Salud Carlos III · ESUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet is an important, modifiable lifestyle factor of cardiometabolic disease risk, and an improved diet can delay or even prevent the onset of disease. Recent evidence suggests that individuals could benefit from diets adapted to their genotype and phenotype: that is, personalized nutrition. A novel strategy is to tailor diets for groups of individuals according to their metabolic phenotypes (metabotypes). Randomized controlled trials evaluating metabotype-specific responses and nonresponses are urgently needed to bridge the current gap of knowledge with regard to the efficacy of personalized strategies in nutrition. In this Perspective, we discuss the concept of metabotyping, review the current literature on metabotyping in the context of cardiometabolic disease prevention, and suggest potential strategies for metabotype-based nutritional advice for future work. We also discuss potential determinants of metabotypes, including gut microbiota, and highlight the use of metabolomics to define effective markers for cardiometabolic disease-related metabotypes. Moreover, we hypothesize that people at high risk for cardiometabolic diseases have distinct metabotypes and that individuals grouped into specific metabotypes may respond differently to the same diet, which is being tested in a project of the Joint Programming Initiative: A Healthy Diet for a Healthy Life.

Indexed as

Cardiovascular DiseasesNutritional StatusDietDiet, HealthyHumansMetabolomicscardiometabolic diseasesgut microbiotametabolomicsmetabotypingpersonalized nutritionprecision nutritiontargeted nutrition

Identifiers

PMID31782487
PMCPMC7231594
OpenAlexW2991546071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.