Evidence map›Paper›PMID 34041584›Full record

ArticleEuropean journal of nutrition2021

The salivary proteome reflects some traits of dietary habits in diabetic and non-diabetic older adults.

Christophe Chambon, Eric Neyraud, Thierry Sayd, Pauline Bros, Romane Di Biagio, Frank Hyvrier, Catherine Féart, Perrine André, Fernando Rodriguez-Artalejo, Esther Lopez-Garcia and 4 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in European journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

14 authors at 5 institutions in 3 countries.

Christophe ChambonINRAE, Plateforme d'Exploration du Métabolisme Composante Protéome PFEMcp, St-Genès-Champanelle, France.ORCID http://orcid.org/0000-0003-0357-9807
Eric NeyraudCentre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France.ORCID http://orcid.org/0000-0001-7060-1336
Thierry SaydINRAE, Plateforme d'Exploration du Métabolisme Composante Protéome PFEMcp, St-Genès-Champanelle, France.ORCID http://orcid.org/0000-0003-1370-8959
Pauline BrosINRAE, Plateforme d'Exploration du Métabolisme Composante Protéome PFEMcp, St-Genès-Champanelle, France.
Romane Di BiagioCentre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France.
Frank HyvrierCentre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France.ORCID http://orcid.org/0000-0003-3633-9885
Catherine FéartUniversité de Bordeaux, Inserm, BPH, Team LEHA, UMR 1219, Bordeaux, France.ORCID http://orcid.org/0000-0002-7959-1610
Perrine AndréUniversité de Bordeaux, Inserm, BPH, Team LEHA, UMR 1219, Bordeaux, France.
Fernando Rodriguez-ArtalejoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0001-9317-5755
Esther Lopez-GarciaDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0001-6202-4970
Esther Garcia-EsquinasDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0002-8688-5174
David Gomez-CabreroCentre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College, London, UK.ORCID http://orcid.org/0000-0003-4186-3788
Gordon ProctorCentre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College, London, UK.ORCID http://orcid.org/0000-0002-5684-841X
Martine MorzelCentre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France. martine.morzel@inrae.fr.ORCID http://orcid.org/0000-0002-3589-3641
Centre National de la Recherche Scientifique · FRHospital Universitario La Paz · ESInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRKing's College London · GBUniversité de Bordeaux · FR

Funding

Agence Nationale de la Recherche ANR-16-HDHL-0005-01Biotechnology and Biological Sciences Research Council BB/R000891/1Ministerio de Economía y Competitividad APCIN 2016-145
6 · The paper itself

Abstract

purposeObjective markers of usual diet are of interest as alternative or validating tools in nutritional epidemiology research. The main purpose of the work was to assess whether saliva protein composition can reflect dietary habits in older adults, and how type 2 diabetes impacted on the saliva-diet correlates.

methods214 participants were selected from 2 European cohorts of community-dwelling older adults (3C-Bordeaux and Seniors-ENRICA-2), using a case-control design nested in each cohort. Cases were individuals with type 2 diabetes. Dietary information was obtained using the Mediterranean Diet Adherence Screener (MEDAS). Saliva was successfully obtained from 211 subjects, and its proteome analyzed by liquid chromatography-tandem mass spectrometry.

resultsThe relative abundance of 246 saliva proteins was obtained across all participants. The salivary proteome differed depending on the intake level of some food groups (especially vegetables, fruits, sweet snacks and red meat), in a diabetic status- and cohort-specific manner. Gene Set Enrichment Analysis suggested that some biological processes were consistently affected by diet across cohorts, for example enhanced platelet degranulation in high consumers of sweet snacks. Minimal models were then fitted to predict dietary variables by sociodemographic, clinical and salivary proteome variables. For the food group «sweet snacks», selected salivary proteins contributed to the predictive model and improved its performance in the Seniors-ENRICA-2 cohort and when both cohorts were combined.

conclusionSaliva proteome composition of elderly individuals can reflect some aspects of dietary patterns.

Indexed as

Diabetes Mellitus, Type 2Diet, MediterraneanAgedFeeding BehaviorHumansProteomeSalivaProteomeAgeingDiabetesGene Set Enrichment AnalysisProteomicsSalivary biomarkersUsual diet

Identifiers

PMID34041584
OpenAlexW3164058390

What OpenQuestion holds

Textmetadata
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.