Evidence map›Paper›PMID 32635215›Full record

ArticleMetabolites2020

Metabolic Signatures of 10 Processed and Non-processed Meat Products after In Vitro Digestion.

Roland Wedekind, Pekka Keski-Rahkonen, Nivonirina Robinot, Frederic Mercier, Erwan Engel, Inge Huybrechts, Augustin Scalbert

Abstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Roland WedekindNutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.ORCID 0000-0003-1364-7666
Pekka Keski-RahkonenNutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
Nivonirina RobinotNutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.ORCID 0000-0002-2532-1455
Frederic MercierMicro-Contaminants, Aroma and Separation Sciences (MASS) Group, National Research Institute for Agriculture, Food and Environment (INRAE) UR370 QuaPA, 63122 Saint-Genès-Champanelle, France.
Erwan EngelMicro-Contaminants, Aroma and Separation Sciences (MASS) Group, National Research Institute for Agriculture, Food and Environment (INRAE) UR370 QuaPA, 63122 Saint-Genès-Champanelle, France.
Inge HuybrechtsNutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.ORCID 0000-0003-3838-855X
Augustin ScalbertNutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.ORCID 0000-0001-6651-6710

Funding

World Health Organization 001
6 · The paper itself

Abstract

The intake of processed meat has been associated with several adverse health outcomes such as type II diabetes and cancer; however, the mechanisms are not fully understood. A better knowledge of the metabolite profiles of different processed and non-processed meat products from this heterogeneous food group could help in elucidating the mechanisms associated with these health effects. Thirty-three different commercial samples of ten processed and non-processed meat products were digested in triplicate with a standardized static in vitro digestion method in order to mimic profiles of small molecules formed in the gut upon digestion. A metabolomics approach based on high-resolution mass spectrometry was used to identify metabolite profiles specific to the various meat products. Processed meat products showed metabolite profiles clearly distinct from those of non-processed meat. Several discriminant features related to either specific ingredients or processing methods were identified. Those were, in particular, syringol compounds deposited in meat during smoking, biogenic amines formed during meat fermentation and piperine and related compounds characteristic of pepper used as an ingredient. These metabolites, characteristic of specific processed meat products, might be used as potential biomarkers of intake for these foods. They may also help in understanding the mechanisms linking processed meat intake and adverse health outcomes such as cancer.

Indexed as

biogenic aminesfermented meathigh resolution mass spectrometrypepperpiperineprocessed meatsmoked meatsyringoluntargeted metabolomics

Identifiers

PMID32635215
PMCPMC7408382

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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.