Christina C. Dahm

Patterns of adipose tissue fatty acids and the risk of atrial fibrillation: A case-cohort study

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  • Pia Thisted Dinesen, Aalborg University
  • ,
  • Thomas Andersen Rix, Aalborg University
  • ,
  • Albert Marni Joensen, Aalborg University
  • ,
  • Christina Cathrine Dahm
  • Søren Lundbye-Christensen, Aalborg University, Unit of Clinical Biostatistics, Aalborg University Hospital, Denmark.
  • ,
  • Erik Berg Schmidt, Institut for Klinisk Medicin - Kardiologisk afdeling, Aalborg Sygehus
  • ,
  • Kim Overvad

Fatty acids in adipose tissue share dietary sources and metabolic pathways and therefore occur in patterns. The aim of the present study was to investigate the association between adipose tissue fatty acid patterns identified by the data-driven dimension-reducing method treelet transform and the risk of atrial fibrillation. A total of 57,053 Danish men and women aged 50-64 years participating in the Diet, Cancer and Health cohort had an adipose tissue biopsy taken at baseline. During a median follow-up of 14.6 years, a total of 4,710 participants developed atrial fibrillation or atrial flutter. Adipose tissue biopsies were analysed for fatty acid content by gas chromatography for all cases of atrial fibrillation and for a randomly drawn subcohort (n = 3,500) representative for the entire cohort. Hazard ratios with 95% confidence intervals for atrial fibrillation according to quintiles of factor scores were determined by weighted Cox proportional hazards regression analyses for men and women separately. From the 32 fatty acids measured, 7 major factors/patterns of fatty acids were identified using treelet transform. We found that a pattern consisting of n-6 polyunsaturated fatty acids (PUFA) (except linoleic acid) was associated with a lower hazard of atrial fibrillation. Patterns consisting of marine n-3 PUFA and containing n-9 fatty acids were associated with a lower hazard of atrial fibrillation in women. In conclusion, patterns of fatty acids in adipose tissue identified by treelet transform may be differentially associated with the risk of atrial fibrillation.

Original languageEnglish
Article numbere0208833
JournalPLOS ONE
Volume13
Issue12
Number of pages14
ISSN1932-6203
DOIs
Publication statusPublished - 11 Dec 2018

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