Evidence map›Paper›PMID 29020051›Full record

ArticlePLoS medicine2017

A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study.

Fumiaki Imamura, Stephen J Sharp, Albert Koulman, Matthias B Schulze, Janine Kröger, Julian L Griffin, José M Huerta, Marcela Guevara, Ivonne Sluijs, Antonio Agudo and 34 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  17. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
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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

44 authors at 20 institutions in 8 countries.

Fumiaki ImamuraMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-6841-8396
Stephen J SharpMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Albert KoulmanNational Institute for Health Research Biomedical Research Centres Core Nutritional Biomarker Laboratory, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0001-9998-051X
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition, Potsdam, Germany.ORCID http://orcid.org/0000-0002-0830-5277
Janine KrögerDepartment of Molecular Epidemiology, German Institute of Human Nutrition, Potsdam, Germany.
Julian L GriffinMedical Research Council Epidemiology Unit Elsie Widdowson Laboratory, Cambridge, United Kingdom.
José M HuertaDepartment of Epidemiology, Consejería de Sanidad y Política Social, CIBER de Epidemiología y Salud Pública, Murcia, Spain.ORCID http://orcid.org/0000-0002-9637-3869
Marcela GuevaraCIBER Epidemiología y Salud Pública, Madrid, Spain.ORCID http://orcid.org/0000-0001-9242-6364
Ivonne SluijsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Antonio AgudoUnit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain.
Eva ArdanazCIBER Epidemiología y Salud Pública, Madrid, Spain.
Beverley BalkauCenter for Research in Epidemiology and Population Health, Inserm U1018, Paris-Sud University, University Versailles Saint-Quentin-en-Yvelines, Paris Saclay University, Villejuif, France.
Heiner BoeingDepartment of Molecular Epidemiology, German Institute of Human Nutrition, Potsdam, Germany.
Veronique ChajesInternational Agency for Research on Cancer, Lyon, France.
Christina C DahmSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-0481-2893
Courtney DowCenter for Research in Epidemiology and Population Health, Inserm U1018, Paris-Sud University, University Versailles Saint-Quentin-en-Yvelines, Paris Saclay University, Villejuif, France.
Guy FagherazziCenter for Research in Epidemiology and Population Health, Inserm U1018, Paris-Sud University, University Versailles Saint-Quentin-en-Yvelines, Paris Saclay University, Villejuif, France.
Edith J M FeskensDepartment of Agrotechnology and Food Sciences, Wageningen University, Wageningen, Netherlands.
Paul W FranksFamily Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Diana GavrilaCIBER Epidemiología y Salud Pública, Madrid, Spain.
Marc GunterSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Kay-Tee KhawDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Tilman KühnDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Olle MelanderDepartment of Clinical Sciences, Lund University, Skane University Hospital, Malmo, Sweden.
Elena Molina-PortilloCIBER Epidemiología y Salud Pública, Madrid, Spain.
Peter M NilssonDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Anja OlsenDanish Cancer Society Research Center, Copenhagen, Denmark.
Kim OvervadSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Domenico PalliCancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy.
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Federico II University, Naples, Italy.
Olov RolandssonFamily Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Sabina SieriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Carlotta SacerdoteUnit of Cancer Epidemiology, Città della Salute e della Scienza Hospital-University of Turin and Center for Cancer Prevention, Torino, Italy.ORCID http://orcid.org/0000-0002-8008-5096
Nadia SlimaniInternational Agency for Research on Cancer, Lyon, France.
Annemieke M W SpijkermanNational Institute for Public Health and the Environment, Bilthoven, Netherlands.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Rosario TuminoAffiliation Cancer Registry, Department of Prevention, Azienda Sanitaria Provinciale di Ragusa, Ragusa, Italy.ORCID http://orcid.org/0000-0003-2666-414X
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0002-4605-435X
Claudia LangenbergMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Elio RiboliSchool of Public Health, Imperial College London, London, United Kingdom.
Nita G ForouhiMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-5041-248X
Nick J WarehamMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0003-1422-2993
University of Cambridge · GBAarhus University · DKGerman Institute of Human Nutrition · DEUniversité Paris-Sud · FRCentre international de recherche sur le cancer · FRDanish Cancer Society · DKGerman Cancer Research Center · DELund University · SEMRC Human Nutrition Research · GBNavarre Institute of Health Research · ESUtrecht University · NLAgenzia Regionale Sanitaria della Puglia · ITConsejería de Educación de la Junta de Castilla y León · ESFondazione IRCCS Istituto Nazionale dei Tumori · ITImperial College London · GBInstitut Català d'Oncologia · ESInstituto Murciano de Investigación Biosanitaria · ESNational Institute for Public Health and the Environment · NLPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUmeå University · SE

Funding

Cancer Research UK 14136Cancer Research UK 16491Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_EX_G0800783Medical Research Council MC_PC_13030Medical Research Council MC_UP_A090_1006Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1Medical Research Council MR/P011705/1Medical Research Council MR/P01836X/1World Health Organization 001
6 · The paper itself

Abstract

backgroundCombinations of multiple fatty acids may influence cardiometabolic risk more than single fatty acids. The association of a combination of fatty acids with incident type 2 diabetes (T2D) has not been evaluated. METHODS AND

findingsWe measured plasma phospholipid fatty acids by gas chromatography in 27,296 adults, including 12,132 incident cases of T2D, over the follow-up period between baseline (1991-1998) and 31 December 2007 in 8 European countries in EPIC-InterAct, a nested case-cohort study. The first principal component derived by principal component analysis of 27 individual fatty acids (mole percentage) was the main exposure (subsequently called the fatty acid pattern score [FA-pattern score]). The FA-pattern score was partly characterised by high concentrations of linoleic acid, stearic acid, odd-chain fatty acids, and very-long-chain saturated fatty acids and low concentrations of γ-linolenic acid, palmitic acid, and long-chain monounsaturated fatty acids, and it explained 16.1% of the overall variability of the 27 fatty acids. Based on country-specific Prentice-weighted Cox regression and random-effects meta-analysis, the FA-pattern score was associated with lower incident T2D. Comparing the top to the bottom fifth of the score, the hazard ratio of incident T2D was 0.23 (95% CI 0.19-0.29) adjusted for potential confounders and 0.37 (95% CI 0.27-0.50) further adjusted for metabolic risk factors. The association changed little after adjustment for individual fatty acids or fatty acid subclasses. In cross-sectional analyses relating the FA-pattern score to metabolic, genetic, and dietary factors, the FA-pattern score was inversely associated with adiposity, triglycerides, liver enzymes, C-reactive protein, a genetic score representing insulin resistance, and dietary intakes of soft drinks and alcohol and was positively associated with high-density-lipoprotein cholesterol and intakes of polyunsaturated fat, dietary fibre, and coffee (p < 0.05 each). Limitations include potential measurement error in the fatty acids and other model covariates and possible residual confounding.

conclusionsA combination of individual fatty acids, characterised by high concentrations of linoleic acid, odd-chain fatty acids, and very long-chain fatty acids, was associated with lower incidence of T2D. The specific fatty acid pattern may be influenced by metabolic, genetic, and dietary factors.

Indexed as

InternationalityBiomarkersCase-Control StudiesCohort StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2EuropeFatty AcidsFemaleHumansIncidenceMaleMiddle AgedPhospholipidsPrincipal Component AnalysisProspective StudiesBiomarkersFatty AcidsPhospholipids

Identifiers

PMID29020051
PMCPMC5636062
OpenAlexW2761254197

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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.