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Lipidomic profiles, lipid trajectories and clinical biomarkers in female elite endurance athletes

Varga, Tibor V LU ; Ali, Ashfaq LU orcid ; Herrera, Jose A R ; Ahonen, Linda L ; Mattila, Ismo M ; Al-Sari, Naba H ; Legido-Quigley, Cristina ; Skouby, Sven ; Brunak, Søren and Tornberg, Åsa B LU orcid (2020) In Scientific Reports 10. p.1-9
Abstract

We assessed whether blood lipid metabolites and their changes associate with various cardiometabolic, endocrine, bone- and energy-related comorbidities of Relative Energy Deficiency in Sport (RED-S) in female elite endurance athletes. Thirty-eight Scandinavian female elite athletes underwent a day-long exercise test. Five blood samples were obtained during the day - at fasting state and before and after two standardized exercise tests. Clinical biomarkers were assessed at fasting state, while untargeted lipidomics was undertaken using all blood samples. Linear and logistic regression was used to assess associations between lipidomic features and clinical biomarkers. Overrepresentations of findings with P < 0.05 from these association... (More)

We assessed whether blood lipid metabolites and their changes associate with various cardiometabolic, endocrine, bone- and energy-related comorbidities of Relative Energy Deficiency in Sport (RED-S) in female elite endurance athletes. Thirty-eight Scandinavian female elite athletes underwent a day-long exercise test. Five blood samples were obtained during the day - at fasting state and before and after two standardized exercise tests. Clinical biomarkers were assessed at fasting state, while untargeted lipidomics was undertaken using all blood samples. Linear and logistic regression was used to assess associations between lipidomic features and clinical biomarkers. Overrepresentations of findings with P < 0.05 from these association tests were assessed using Fisher's exact tests. Self-organizing maps and a trajectory clustering algorithm were utilized to identify informative clusters in the population. Twenty associations PFDR < 0.05 were detected between lipidomic features and clinical biomarkers. Notably, cortisol demonstrated an overrepresentation of associations with P < 0.05 compared to other traits (PFisher = 1.9×10-14). Mean lipid trajectories were created for 201 named features for the cohort and subsequently by stratifying participants by their energy availability and menstrual dysfunction status. This exploratory analysis of lipid trajectories indicates that participants with menstrual dysfunction might have decreased adaptive response to exercise interventions.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
10
article number
2349
pages
1 - 9
publisher
Nature Publishing Group
external identifiers
  • pmid:32047202
  • scopus:85079335528
ISSN
2045-2322
DOI
10.1038/s41598-020-59127-8
project
Fysiologiska och psykologiska aspekter på låg energitillgänglighet hos kvinnor - påverkan på metabolsim, prestation och hälsa
language
English
LU publication?
yes
id
54f52c20-1d52-466c-b96c-d4a858cb7994
date added to LUP
2020-02-15 11:27:46
date last changed
2024-05-01 05:39:15
@article{54f52c20-1d52-466c-b96c-d4a858cb7994,
  abstract     = {{<p>We assessed whether blood lipid metabolites and their changes associate with various cardiometabolic, endocrine, bone- and energy-related comorbidities of Relative Energy Deficiency in Sport (RED-S) in female elite endurance athletes. Thirty-eight Scandinavian female elite athletes underwent a day-long exercise test. Five blood samples were obtained during the day - at fasting state and before and after two standardized exercise tests. Clinical biomarkers were assessed at fasting state, while untargeted lipidomics was undertaken using all blood samples. Linear and logistic regression was used to assess associations between lipidomic features and clinical biomarkers. Overrepresentations of findings with P &lt; 0.05 from these association tests were assessed using Fisher's exact tests. Self-organizing maps and a trajectory clustering algorithm were utilized to identify informative clusters in the population. Twenty associations PFDR &lt; 0.05 were detected between lipidomic features and clinical biomarkers. Notably, cortisol demonstrated an overrepresentation of associations with P &lt; 0.05 compared to other traits (PFisher = 1.9×10-14). Mean lipid trajectories were created for 201 named features for the cohort and subsequently by stratifying participants by their energy availability and menstrual dysfunction status. This exploratory analysis of lipid trajectories indicates that participants with menstrual dysfunction might have decreased adaptive response to exercise interventions.</p>}},
  author       = {{Varga, Tibor V and Ali, Ashfaq and Herrera, Jose A R and Ahonen, Linda L and Mattila, Ismo M and Al-Sari, Naba H and Legido-Quigley, Cristina and Skouby, Sven and Brunak, Søren and Tornberg, Åsa B}},
  issn         = {{2045-2322}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{1--9}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Lipidomic profiles, lipid trajectories and clinical biomarkers in female elite endurance athletes}},
  url          = {{http://dx.doi.org/10.1038/s41598-020-59127-8}},
  doi          = {{10.1038/s41598-020-59127-8}},
  volume       = {{10}},
  year         = {{2020}},
}