Evidence map›Paper›PMID 31483113›Full record

ReviewMolecular nutrition & food research2019

GutSelf: Interindividual Variability in the Processing of Dietary Compounds by the Human Gastrointestinal Tract.

Barbara Walther, Aaron M Lett, Alessandra Bordoni, Lidia Tomás-Cobos, Juan Antonio Nieto, Didier Dupont, Francesca Danesi, Danit R Shahar, Ana Echaniz, Roberta Re and 5 more

Abstract readReview
In one paragraph

Review in Molecular nutrition & food research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  13. Enteral Route Nanomedicine for Cancer Therapy.International journal of nanomedicine · 2024
    Review
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  19. Regulation of gene expression in chickens by heat stress.Journal of animal science and biotechnology · 2021
    Review
  20. Review
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

15 authors.

Barbara WaltherAgroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003, Berne, Switzerland.
Aaron M LettSection for Nutrition Research, Department of Medicine, Imperial College London, London, UK.
Alessandra BordoniDepartment of Agri-Food Sciences and Technologies, University of Bologna, 47521, Cesena, Italy.
Lidia Tomás-Cobosainia Centro Tecnológico, E46980, Paterna, Valencia, Spain.
Juan Antonio Nietoainia Centro Tecnológico, E46980, Paterna, Valencia, Spain.
Didier DupontUMR 1253, Science et Technologie du Lait et de l'Œuf, INRA, 35000, Rennes, France.
Francesca DanesiDepartment of Agri-Food Sciences and Technologies, University of Bologna, 47521, Cesena, Italy.ORCID 0000-0002-4134-0066
Danit R ShaharDepartment of Public Health, The S. Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.
Ana EchanizCambridge Food Science Ltd, CB23 5AB, Cambridge, UK.
Roberta ReCambridge Food Science Ltd, CB23 5AB, Cambridge, UK.
Aida Sainz FernandezLeatherhead Food Research, KT18 5XT, Epsom, UK.
Amélie DeglaireUMR 1253, Science et Technologie du Lait et de l'Œuf, INRA, 35000, Rennes, France.
Doreen GilleAgroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003, Berne, Switzerland.
Alexandra SchmidAgroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003, Berne, Switzerland.
Guy VergèresAgroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003, Berne, Switzerland.ORCID 0000-0003-4574-0590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional research is currently entering the field of personalized nutrition, to a large extent driven by major technological breakthroughs in analytical sciences and biocomputing. An efficient launching of the personalized approach depends on the ability of researchers to comprehensively monitor and characterize interindividual variability in the activity of the human gastrointestinal tract. This information is currently not available in such a form. This review therefore aims at identifying and discussing published data, providing evidence on interindividual variability in the processing of the major nutrients, i.e., protein, fat, carbohydrates, vitamins, and minerals, along the gastrointestinal tract, including oral processing, intestinal digestion, and absorption. Although interindividual variability is not a primary endpoint of most studies identified, a significant number of publications provides a wealth of information on this topic for each category of nutrients. This knowledge remains fragmented, however, and understanding the clinical relevance of most of the interindividual responses to food ingestion described in this review remains unclear. In that regard, this review has identified a gap and sets the base for future research addressing the issue of the interindividual variability in the response of the human organism to the ingestion of foods.

Indexed as

Amino AcidsBiological Variation, IndividualDietary CarbohydratesDietary FatsDietary ProteinsDigestionGastrointestinal MicrobiomeGastrointestinal TractHumansIntestinal AbsorptionMineralsPeptide HydrolasesPolymorphism, GeneticVitaminsAmino AcidsDietary CarbohydratesDietary FatsDietary ProteinsMineralsPeptide HydrolasesVitaminsdigestionfoodgastrointestinal tractgut microbiomepolymorphism

Identifiers

PMID31483113
PMCPMC6900003

What Socratic 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 Socratic graph.