Evidence map›Paper›PMID 33303636›Full record

ArticleDiabetes care2021

Interaction Between GAD65 Antibodies and Dietary Fish Intake or Plasma Phospholipid n-3 Polyunsaturated Fatty Acids on Incident Adult-Onset Diabetes: The EPIC-InterAct Study.

Josefin E Löfvenborg, Sofia Carlsson, Tomas Andersson, Christiane S Hampe, Albert Koulman, María Dolores Chirlaque Lopez, Paula Jakszyn, Verena A Katzke, Tilman Kühn, Cecilie Kyrø and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
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 19 institutions in 9 countries.

Josefin E LöfvenborgInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden josefin.lofvenborg@ki.se.ORCID 0000-0002-0099-969X
Sofia CarlssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Tomas AnderssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Christiane S HampeDepartment of Medicine, University of Washington School of Medicine, Seattle, WA.
Albert KoulmanMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
María Dolores Chirlaque LopezDepartment of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
Paula JakszynUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Tilman KühnDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Cecilie KyrøDanish Cancer Society Research Center, Copenhagen, Denmark.
Giovanna MasalaCancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy.
Peter M NilssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Kim OvervadDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Salvatore PanicoDipartimento di Medicina Clinica e Chrurgia, Federico II University, Naples, Italy.
Maria-Jose SánchezCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Madrid, Spain.
Yvonne van der SchouwUniversity Medical Center Utrecht, Utrecht, the Netherlands.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Elisabete WeiderpassInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Nita G ForouhiMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K.ORCID 0000-0002-5041-248X
Stephen J SharpMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
Olov RolandssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0002-1341-6828
Nicholas J WarehamMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
MRC Epidemiology Unit · GBGerman Cancer Research Center · DEKarolinska Institutet · SEAarhus University · DKCentre international de recherche sur le cancer · FRDanish Cancer Society · DKFederico II University Hospital · ITImperial College London · GBInstitut d'Investigació Biomédica de Bellvitge · ESInstituto Murciano de Investigación Biosanitaria · ESLund University · SENational Institute for Health Research · GBStockholm County Council · SEUmeå University · SEUniversidad de Granada · ESUniversity Medical Center Utrecht · NLUniversity of Copenhagen · DKUniversity of Potsdam · DEUniversity of Washington · US

Funding

ISLET CELL MEMBRANE ANTIBODIES IN DIABTESR01DK026190 · NIDDK · UNIVERSITY OF WASHINGTON · PI HAMPE, CHRISTIANE S · 1986 to 2016
$4.9M
Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_00014/5Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5NIDDK NIH HHS R01 DK026190World Health Organization 001
6 · The paper itself

Abstract

objectiveIslet autoimmunity is associated with diabetes incidence. We investigated whether there was an interaction between dietary fish intake or plasma phospholipid n-3 polyunsaturated fatty acid (PUFA) concentration with the 65-kDa isoform of GAD (GAD65) antibody positivity on the risk of developing adult-onset diabetes. RESEARCH DESIGN AND

methodsWe used prospective data on 11,247 incident cases of adult-onset diabetes and 14,288 noncases from the EPIC-InterAct case-cohort study conducted in eight European countries. Baseline plasma samples were analyzed for GAD65 antibodies and phospholipid n-3 PUFAs. Adjusted hazard ratios (HRs) for incident diabetes in relation to GAD65 antibody status and tertiles of plasma phospholipid n-3 PUFA or fish intake were estimated using Prentice-weighted Cox regression. Additive (proportion attributable to interaction [AP]) and multiplicative interactions between GAD65 antibody positivity (≥65 units/mL) and low fish/n-3 PUFA were assessed.

resultsThe hazard of diabetes in antibody-positive individuals with low intake of total and fatty fish, respectively, was significantly elevated (HR 2.52 [95% CI 1.76-3.63] and 2.48 [1.79-3.45]) compared with people who were GAD65 antibody negative and had high fish intake, with evidence of additive (AP 0.44 [95% CI 0.16-0.72] and 0.48 [0.24-0.72]) and multiplicative (

conclusionsHigh fish intake or relative plasma phospholipid n-3 PUFA concentrations may partially counteract the increased diabetes risk conferred by GAD65 antibody positivity.

Indexed as

Diabetes MellitusFatty Acids, Omega-3AdultAnimalsCohort StudiesDietFatty Acids, UnsaturatedHumansPhospholipidsProspective StudiesFatty Acids, Omega-3Fatty Acids, UnsaturatedPhospholipids

Identifiers

PMID33303636
PMCPMC7818317
OpenAlexW3111482582

What Socratic 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 Socratic graph.