Sources of variation in the serum metabolome of female participants of the HUNT2 study
Abstract The aim of this study was to explore the intricate relationship between serum metabolomics and lifestyle factors, shedding light on their impact on health in the context of breast cancer risk. Detailed metabolic profiles of 2283 female participants in the Trøndelag Health Study (HUNT study)...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-024-07137-x |
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| author | Julia Debik Katarzyna Mrowiec Agata Kurczyk Piotr Widłak Karol Jelonek Tone F. Bathen Guro F. Giskeødegård |
| author_facet | Julia Debik Katarzyna Mrowiec Agata Kurczyk Piotr Widłak Karol Jelonek Tone F. Bathen Guro F. Giskeødegård |
| author_sort | Julia Debik |
| collection | DOAJ |
| description | Abstract The aim of this study was to explore the intricate relationship between serum metabolomics and lifestyle factors, shedding light on their impact on health in the context of breast cancer risk. Detailed metabolic profiles of 2283 female participants in the Trøndelag Health Study (HUNT study) were obtained through nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). We show that lifestyle-related variables can explain up to 30% of the variance in individual metabolites. Age and obesity were the primary factors affecting the serum metabolic profile, both associated with increased levels of triglyceride-rich very low-density lipoproteins (VLDL) and intermediate-density lipoproteins (IDL), amino acids and glycolysis-related metabolites, and decreased levels of high-density lipoproteins (HDL). Moreover, factors like hormonal changes associated with menstruation and contraceptive use or education level influence the metabolite levels. Participants were clustered into three distinct clusters based on lifestyle-related factors, revealing metabolic similarities between obese and older individuals, despite diverse lifestyle factors, suggesting accelerated metabolic aging with obesity. Our results show that metabolic associations to cancer risk may partly be explained by modifiable lifestyle factors. |
| format | Article |
| id | doaj-art-2a3c6853fb3e48d1959746cf31770b5d |
| institution | DOAJ |
| issn | 2399-3642 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj-art-2a3c6853fb3e48d1959746cf31770b5d2025-08-20T02:50:08ZengNature PortfolioCommunications Biology2399-36422024-11-017111410.1038/s42003-024-07137-xSources of variation in the serum metabolome of female participants of the HUNT2 studyJulia Debik0Katarzyna Mrowiec1Agata Kurczyk2Piotr Widłak3Karol Jelonek4Tone F. Bathen5Guro F. Giskeødegård6Department of Public Health and Nursing, Norwegian University of Science and TechnologyCenter for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice BranchDepartment of Biostatistics and Bioinformatics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch2nd Radiology Department, Medical University of GdańskCenter for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice BranchDepartment of Circulation and Medical Imaging, Norwegian University of Science and TechnologyDepartment of Public Health and Nursing, Norwegian University of Science and TechnologyAbstract The aim of this study was to explore the intricate relationship between serum metabolomics and lifestyle factors, shedding light on their impact on health in the context of breast cancer risk. Detailed metabolic profiles of 2283 female participants in the Trøndelag Health Study (HUNT study) were obtained through nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). We show that lifestyle-related variables can explain up to 30% of the variance in individual metabolites. Age and obesity were the primary factors affecting the serum metabolic profile, both associated with increased levels of triglyceride-rich very low-density lipoproteins (VLDL) and intermediate-density lipoproteins (IDL), amino acids and glycolysis-related metabolites, and decreased levels of high-density lipoproteins (HDL). Moreover, factors like hormonal changes associated with menstruation and contraceptive use or education level influence the metabolite levels. Participants were clustered into three distinct clusters based on lifestyle-related factors, revealing metabolic similarities between obese and older individuals, despite diverse lifestyle factors, suggesting accelerated metabolic aging with obesity. Our results show that metabolic associations to cancer risk may partly be explained by modifiable lifestyle factors.https://doi.org/10.1038/s42003-024-07137-x |
| spellingShingle | Julia Debik Katarzyna Mrowiec Agata Kurczyk Piotr Widłak Karol Jelonek Tone F. Bathen Guro F. Giskeødegård Sources of variation in the serum metabolome of female participants of the HUNT2 study Communications Biology |
| title | Sources of variation in the serum metabolome of female participants of the HUNT2 study |
| title_full | Sources of variation in the serum metabolome of female participants of the HUNT2 study |
| title_fullStr | Sources of variation in the serum metabolome of female participants of the HUNT2 study |
| title_full_unstemmed | Sources of variation in the serum metabolome of female participants of the HUNT2 study |
| title_short | Sources of variation in the serum metabolome of female participants of the HUNT2 study |
| title_sort | sources of variation in the serum metabolome of female participants of the hunt2 study |
| url | https://doi.org/10.1038/s42003-024-07137-x |
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