Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

OMICs Signatures Linking Persistent Organic Pollutants to Cardiovascular Disease in the Swedish Mammography Cohort

Schillemans, Tessa ; Yan, Yingxiao ; Ribbenstedt, Anton ; Donat-Vargas, Carolina ; Lindh, Christian H. LU orcid ; Kiviranta, Hannu ; Rantakokko, Panu ; Wolk, Alicja ; Landberg, Rikard and Åkesson, Agneta , et al. (2024) In Environmental Science and Technology 58(2). p.1036-1047
Abstract

Cardiovascular disease (CVD) development may be linked to persistent organic pollutants (POPs), including organochlorine compounds (OCs) and perfluoroalkyl and polyfluoroalkyl substances (PFAS). To explore underlying mechanisms, we investigated metabolites, proteins, and genes linking POPs with CVD risk. We used data from a nested case-control study on myocardial infarction (MI) and stroke from the Swedish Mammography Cohort - Clinical (n = 657 subjects). OCs, PFAS, and multiomics (9511 liquid chromatography-mass spectrometry (LC-MS) metabolite features; 248 proteins; 8110 gene variants) were measured in baseline plasma. POP-related omics features were selected using random forest followed by Spearman correlation adjusted for... (More)

Cardiovascular disease (CVD) development may be linked to persistent organic pollutants (POPs), including organochlorine compounds (OCs) and perfluoroalkyl and polyfluoroalkyl substances (PFAS). To explore underlying mechanisms, we investigated metabolites, proteins, and genes linking POPs with CVD risk. We used data from a nested case-control study on myocardial infarction (MI) and stroke from the Swedish Mammography Cohort - Clinical (n = 657 subjects). OCs, PFAS, and multiomics (9511 liquid chromatography-mass spectrometry (LC-MS) metabolite features; 248 proteins; 8110 gene variants) were measured in baseline plasma. POP-related omics features were selected using random forest followed by Spearman correlation adjusted for confounders. From these, CVD-related omics features were selected using conditional logistic regression. Finally, 29 (for OCs) and 12 (for PFAS) unique features associated with POPs and CVD. One omics subpattern, driven by lipids and inflammatory proteins, associated with MI (OR = 2.03; 95% CI = 1.47; 2.79), OCs, age, and BMI, and correlated negatively with PFAS. Another subpattern, driven by carnitines, associated with stroke (OR = 1.55; 95% CI = 1.16; 2.09), OCs, and age, but not with PFAS. This may imply that OCs and PFAS associate with different omics patterns with opposite effects on CVD risk, but more research is needed to disentangle potential modifications by other factors.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cardiovascular disease, genetics, metabolomics, multiomics, nested case-control study, persistent organic pollutants, proteomics
in
Environmental Science and Technology
volume
58
issue
2
pages
12 pages
publisher
The American Chemical Society (ACS)
external identifiers
  • pmid:38174696
  • scopus:85182599336
ISSN
0013-936X
DOI
10.1021/acs.est.3c06388
language
English
LU publication?
yes
id
a0b5d8cf-5084-47c5-9ad3-bfa84e1c52da
date added to LUP
2024-02-21 14:03:11
date last changed
2024-04-21 09:45:43
@article{a0b5d8cf-5084-47c5-9ad3-bfa84e1c52da,
  abstract     = {{<p>Cardiovascular disease (CVD) development may be linked to persistent organic pollutants (POPs), including organochlorine compounds (OCs) and perfluoroalkyl and polyfluoroalkyl substances (PFAS). To explore underlying mechanisms, we investigated metabolites, proteins, and genes linking POPs with CVD risk. We used data from a nested case-control study on myocardial infarction (MI) and stroke from the Swedish Mammography Cohort - Clinical (n = 657 subjects). OCs, PFAS, and multiomics (9511 liquid chromatography-mass spectrometry (LC-MS) metabolite features; 248 proteins; 8110 gene variants) were measured in baseline plasma. POP-related omics features were selected using random forest followed by Spearman correlation adjusted for confounders. From these, CVD-related omics features were selected using conditional logistic regression. Finally, 29 (for OCs) and 12 (for PFAS) unique features associated with POPs and CVD. One omics subpattern, driven by lipids and inflammatory proteins, associated with MI (OR = 2.03; 95% CI = 1.47; 2.79), OCs, age, and BMI, and correlated negatively with PFAS. Another subpattern, driven by carnitines, associated with stroke (OR = 1.55; 95% CI = 1.16; 2.09), OCs, and age, but not with PFAS. This may imply that OCs and PFAS associate with different omics patterns with opposite effects on CVD risk, but more research is needed to disentangle potential modifications by other factors.</p>}},
  author       = {{Schillemans, Tessa and Yan, Yingxiao and Ribbenstedt, Anton and Donat-Vargas, Carolina and Lindh, Christian H. and Kiviranta, Hannu and Rantakokko, Panu and Wolk, Alicja and Landberg, Rikard and Åkesson, Agneta and Brunius, Carl}},
  issn         = {{0013-936X}},
  keywords     = {{cardiovascular disease; genetics; metabolomics; multiomics; nested case-control study; persistent organic pollutants; proteomics}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{1036--1047}},
  publisher    = {{The American Chemical Society (ACS)}},
  series       = {{Environmental Science and Technology}},
  title        = {{OMICs Signatures Linking Persistent Organic Pollutants to Cardiovascular Disease in the Swedish Mammography Cohort}},
  url          = {{http://dx.doi.org/10.1021/acs.est.3c06388}},
  doi          = {{10.1021/acs.est.3c06388}},
  volume       = {{58}},
  year         = {{2024}},
}