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Untargeted serum metabolomic profiles and breast density in young women
- Title
- Untargeted serum metabolomic profiles and breast density in young women
- Authors
- Jung; Seungyoun; Silva; Sarah; Dallal; Cher M.; LeBlanc; Erin; Paris; Kenneth; Shepherd; John; Snetselaar; Linda G.; Van Horn; Linda; Zhang; Yuji; Dorgan; Joanne F.
- Ewha Authors
- 정승연
- SCOPUS Author ID
- 정승연
- Issue Date
- 2024
- Journal Title
- Cancer Causes and Control
- ISSN
- 0957-5243
- Citation
- Cancer Causes and Control vol. 35, no. 2, pp. 323 - 334
- Keywords
- Absolute dense volume; Absolute non-dense breast volume; Branched chain amino acid metabolism; Breast cancer; Breast density; Diacylglycerols; Leucine; Metabolomics; Phospholipids; Valine; Young women
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- Purpose of the study: Breast density is an established risk factor for breast cancer. However, little is known about metabolic influences on breast density phenotypes. We conducted untargeted serum metabolomics analyses to identify metabolic signatures associated with breast density phenotypes among young women. Methods: In a cross-sectional study of 173 young women aged 25–29 who participated in the Dietary Intervention Study in Children 2006 Follow-up Study, 449 metabolites were measured in fasting serum samples using ultra-high-performance liquid chromatography-tandem mass spectrometry. Multivariable-adjusted mixed-effects linear regression identified metabolites associated with magnetic resonance imaging measured breast density phenotypes: percent dense breast volume (%DBV), absolute dense breast volume (ADBV), and absolute non-dense breast volume (ANDBV). Metabolite results were corrected for multiple comparisons using a false discovery rate adjusted p-value (q). Results: The amino acids valine and leucine were significantly inversely associated with %DBV. For each 1 SD increase in valine and leucine, %DBV decreased by 20.9% (q = 0.02) and 18.4% (q = 0.04), respectively. ANDBV was significantly positively associated with 16 lipid and one amino acid metabolites, whereas no metabolites were associated with ADBV. Metabolite set enrichment analysis also revealed associations of distinct metabolic signatures with %DBV, ADBV, and ANDBV; branched chain amino acids had the strongest inverse association with %DBV (p = 0.002); whereas, diacylglycerols and phospholipids were positively associated with ANDBV (p ≤ 0.002), no significant associations were observed for ADBV. Conclusion: Our results suggest an inverse association of branched chain amino acids with %DBV. Larger studies in diverse populations are needed. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
- DOI
- 10.1007/s10552-023-01793-w
- Appears in Collections:
- 신산업융합대학 > 식품영양학과 > Journal papers
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