Evidence map›Paper›PMID 30327364›Full record

ArticleDiabetes care2018

Plasma Lipidomic Profiling and Risk of Type 2 Diabetes in the PREDIMED Trial.

Cristina Razquin, Estefanía Toledo, Clary B Clish, Miguel Ruiz-Canela, Courtney Dennis, Dolores Corella, Christopher Papandreou, Emilio Ros, Ramon Estruch, Marta Guasch-Ferré and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

125 citing papers in PubMed, 217 citations in OpenAlex.

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  7. Interleukin 6 Blockade With Tocilizumab Diminishes Indices of Inflammation That Are Linked to Mortality in Treated Human Immunodeficiency Virus Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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65 more citing papers are in PubMed but not listed here.

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

24 authors at 6 institutions in 2 countries.

Cristina RazquinDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
Estefanía ToledoDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
Clary B ClishBroad Institute of MIT and Harvard University, Cambridge, MA.ORCID 0000-0001-8259-9245
Miguel Ruiz-CanelaDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.ORCID 0000-0002-7684-2787
Courtney DennisBroad Institute of MIT and Harvard University, Cambridge, MA.
Dolores CorellaCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Christopher PapandreouCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-6803-507X
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Ramon EstruchCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Marta Guasch-FerréCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0001-8525-1404
Enrique Gómez-GraciaCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Montserrat FitóCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Edward YuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
José LapetraCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Dong WangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Dora RomagueraCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Angel Alonso-GómezCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Amy DeikBroad Institute of MIT and Harvard University, Cambridge, MA.
Mónica BulloCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-0218-7046
Lluis Serra-MajemCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Jordi Salas-SalvadóCIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0003-2700-7459
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Miguel A Martínez-GonzálezDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain mamartinez@unav.es.ORCID 0000-0002-3917-9808
Instituto de Salud Carlos III · ESHarvard University · USBroad Institute · USBrigham and Women's Hospital · USUniversidad de Las Palmas de Gran Canaria · ESUniversitat de València · ES

Funding

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
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesK99DK119412 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, DONG · 2018 to 2019
$181k
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 K99 DK119412NIDDK NIH HHS R01 DK102896
6 · The paper itself

Abstract

objectiveSpecific lipid molecular changes leading to type 2 diabetes (T2D) are largely unknown. We assessed lipidome factors associated with future occurrence of T2D in a population at high cardiovascular risk. RESEARCH DESIGN AND

methodsWe conducted a case-cohort study nested within the PREDIMED trial, with 250 incident T2D cases diagnosed during 3.8 years of median follow-up, and a random sample of 692 participants (639 noncases and 53 overlapping cases) without T2D at baseline. We repeatedly measured 207 plasma known lipid metabolites at baseline and after 1 year of follow-up. We built combined factors of lipid species using principal component analysis and assessed the association between these lipid factors (or their 1-year changes) and T2D incidence.

resultsBaseline lysophosphatidylcholines and lysophosphatidylethanolamines (lysophospholipids [LPs]), phosphatidylcholine-plasmalogens (PC-PLs), sphingomyelins (SMs), and cholesterol esters (CEs) were inversely associated with risk of T2D (multivariable-adjusted

conclusionsTwo plasma lipid profiles made up of different lipid classes were found to be associated with T2D in participants at high cardiovascular risk. A profile including LPs, PC-PLs, SMs, and CEs was associated with lower T2D risk. Another profile composed of TAGs, DAGs, and PEs was associated with higher T2D risk.

Indexed as

Lipid MetabolismAgedAged, 80 and overCardiovascular DiseasesCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleHumansIncidenceLipidsMaleMetabolomicsMiddle AgedRisk FactorsLipids

Identifiers

PMID30327364
PMCPMC6245212
OpenAlexW2897896320

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.