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Liu J, de Vries PS, Del Greco M F, et al. A multi-omics study of circulating phospholipid markers of blood pressure. Sci Rep. 2022;12(1):574doi: 10.1038/s41598-021-04446-7.
Liu, J., de Vries, P. S., Del Greco M, F., Johansson, �. �., Schraut, K. E., Hayward, C., van Dijk, K. W., Franco, O. H., Hicks, A. A., Vitart, V., Rudan, I., Campbell, H., Polašek, O., Pramstaller, P. P., Wilson, J. F., Gyllensten, U., van Duijn, C. M., Dehghan, A., & Demirkan, A. (2022). A multi-omics study of circulating phospholipid markers of blood pressure. Scientific reports, 12(1), 574. https://doi.org/10.1038/s41598-021-04446-7
Liu, Jun, et al. "A multi-omics study of circulating phospholipid markers of blood pressure." Scientific reports vol. 12,1 (2022): 574. doi: https://doi.org/10.1038/s41598-021-04446-7
Liu J, de Vries PS, Del Greco M F, Johansson Å, Schraut KE, Hayward C, van Dijk KW, Franco OH, Hicks AA, Vitart V, Rudan I, Campbell H, Polašek O, Pramstaller PP, Wilson JF, Gyllensten U, van Duijn CM, Dehghan A, Demirkan A. A multi-omics study of circulating phospholipid markers of blood pressure. Sci Rep. 2022 Jan 12;12(1):574. doi: 10.1038/s41598-021-04446-7. PMID: 35022422.
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Sci Rep. 2022 Jan 12;12(1):574. doi: 10.1038/s41598-021-04446-7.

A multi-omics study of circulating phospholipid markers of blood pressure.

Scientific reports

Jun Liu, Paul S de Vries, Fabiola Del Greco M, Åsa Johansson, Katharina E Schraut, Caroline Hayward, Ko Willems van Dijk, Oscar H Franco, Andrew A Hicks, Veronique Vitart, Igor Rudan, Harry Campbell, Ozren Polašek, Peter P Pramstaller, James F Wilson, Ulf Gyllensten, Cornelia M van Duijn, Abbas Dehghan, Ayşe Demirkan

Affiliations

  1. Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands. [email protected].
  2. Nuffield Department of Population Health, University of Oxford, Oxford, UK. [email protected].
  3. Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
  4. Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, University of Texas Health Science Center at Houston, Houston, USA.
  5. Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
  6. Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
  7. Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, UK.
  8. Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
  9. Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh, Scotland, UK.
  10. Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands.
  11. Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
  12. Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
  13. Department of Public Health, School of Medicine, University of Split, Split, Croatia.
  14. Algebra University College, Ilica 242, Zagreb, Croatia.
  15. Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  16. Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
  17. Section of Statistical Multi-Omics, Department of Clinical and Experimental Research, University of Surrey, Guildford, Surrey, UK.
  18. Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands.

PMID: 35022422 DOI: 10.1038/s41598-021-04446-7

Abstract

High-throughput techniques allow us to measure a wide-range of phospholipids which can provide insight into the mechanisms of hypertension. We aimed to conduct an in-depth multi-omics study of various phospholipids with systolic blood pressure (SBP) and diastolic blood pressure (DBP). The associations of blood pressure and 151 plasma phospholipids measured by electrospray ionization tandem mass spectrometry were performed by linear regression in five European cohorts (n = 2786 in discovery and n = 1185 in replication). We further explored the blood pressure-related phospholipids in Erasmus Rucphen Family (ERF) study by associating them with multiple cardiometabolic traits (linear regression) and predicting incident hypertension (Cox regression). Mendelian Randomization (MR) and phenome-wide association study (Phewas) were also explored to further investigate these association results. We identified six phosphatidylethanolamines (PE 38:3, PE 38:4, PE 38:6, PE 40:4, PE 40:5 and PE 40:6) and two phosphatidylcholines (PC 32:1 and PC 40:5) which together predicted incident hypertension with an area under the ROC curve (AUC) of 0.61. The identified eight phospholipids are strongly associated with triglycerides, obesity related traits (e.g. waist, waist-hip ratio, total fat percentage, body mass index, lipid-lowering medication, and leptin), diabetes related traits (e.g. glucose, insulin resistance and insulin) and prevalent type 2 diabetes. The genetic determinants of these phospholipids also associated with many lipoproteins, heart rate, pulse rate and blood cell counts. No significant association was identified by bi-directional MR approach. We identified eight blood pressure-related circulating phospholipids that have a predictive value for incident hypertension. Our cross-omics analyses show that phospholipid metabolites in the circulation may yield insight into blood pressure regulation and raise a number of testable hypothesis for future research.

© 2022. The Author(s).

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