Evidence map›Paper›PMID 29884676›Full record

ArticleClinical chemistry2018

Association of Tryptophan Metabolites with Incident Type 2 Diabetes in the PREDIMED Trial: A Case-Cohort Study.

Edward Yu, Christopher Papandreou, Miguel Ruiz-Canela, Marta Guasch-Ferre, Clary B Clish, Courtney Dennis, Liming Liang, Dolores Corella, Montserrat Fitó, Cristina Razquin and 11 more

Open access · greenAbstract read
In one paragraph

Article in Clinical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. Pooled it
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  13. Food science & nutrition · 2024
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  17. Tryptophanylation of insulin receptor by WARS attenuates insulin signaling.Cellular and molecular life sciences : CMLS · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 12 institutions in 2 countries.

Edward YuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Christopher PapandreouHuman Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain.
Miguel Ruiz-CanelaCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Marta Guasch-FerreDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Clary B ClishBroad Institute of MIT and Harvard University, Cambridge, MA.
Courtney DennisBroad Institute of MIT and Harvard University, Cambridge, MA.
Liming LiangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Dolores CorellaCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Montserrat FitóCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Cristina RazquinCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
José LapetraCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Ramón EstruchCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Montserrat CofánCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Fernando ArósCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Estefania ToledoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Lluis Serra-MajemCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
José V SorlíCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Miguel A Martinez-GonzalezDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Jordi Salas-SalvadoHuman Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain; jordi.salas@urv.cat.
Instituto de Salud Carlos III · ESHarvard University · USConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESUniversidad Rovira i Virgili · ESUniversitat de València · ESAgencia de Evaluación de Tecnologías Sanitarias · ESBrigham and Women's Hospital · USBroad Institute · USHospital Del Mar · ESInstitut d'Investigació Sanitària Pere Virgili · ESNavarre Institute of Health Research · ESUniversidad de Las Palmas de Gran Canaria · ES

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Takara Leah Stanley · 1994 to 2026
$31.6M
Dietary Interventions, Metabolites, and Risk of Type 2 DiabetesR01DK102896 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, MARTINEZ GONZALEZ, MIGUEL A. · 2014 to 2017
$1.9M
Dietary Interventions, Metabolites, and Type 2 DiabetesF31DK114938 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI YU, EDWARD · 2017 to 2017
$29k
NIDDK NIH HHS F31 DK114938NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK102896
6 · The paper itself

Abstract

backgroundMetabolites of the tryptophan-kynurenine pathway (i.e., tryptophan, kynurenine, kynurenic acid, quinolinic acid, 3-hydroxyanthranilic) may be associated with diabetes development. Using a case-cohort design nested in the Prevención con Dieta Mediterránea (PREDIMED) study, we studied the associations of baseline and 1-year changes of these metabolites with incident type 2 diabetes (T2D).

methodsPlasma metabolite concentrations were quantified via LC-MS for n = 641 in a randomly selected subcohort and 251 incident cases diagnosed during 3.8 years of median follow-up. Weighted Cox models adjusted for age, sex, body mass index, and other T2D risk factors were used.

resultsBaseline tryptophan was associated with higher risk of incident T2D (hazard ratio = 1.29; 95% CI, 1.04-1.61 per SD). Positive changes in quinolinic acid from baseline to 1 year were associated with a higher risk of T2D (hazard ratio = 1.39; 95% CI, 1.09-1.77 per SD). Baseline tryptophan and kynurenic acid were directly associated with changes in homeostatic model assessment for insulin resistance (HOMA-IR) from baseline to 1 year. Concurrent changes in kynurenine, quinolinic acid, 3-hydroxyanthranilic acid, and kynurenine/tryptophan ratio were associated with baseline-to-1-year changes in HOMA-IR.

conclusionsBaseline tryptophan and 1-year increases in quinolinic acid were positively associated with incident T2D. Baseline and 1-year changes in tryptophan metabolites predicted changes in HOMA-IR. Tryptophan levels may initially increase and then deplete as diabetes progresses in severity.

Indexed as

Case-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleHomeostasisHumansInsulin ResistanceMaleTryptophanTryptophan

Identifiers

PMID29884676
PMCPMC6218929
OpenAlexW2807643570

What OpenQuestion holds

Textmetadata
LicenceTDM
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.