دورية أكاديمية
Lipidomic and Fatty Acid Biomarkers in Whole Blood Can Predict the Dietary Intake of Eicosapentaenoic and Docosahexaenoic Acids in a Danish Population.
العنوان: | Lipidomic and Fatty Acid Biomarkers in Whole Blood Can Predict the Dietary Intake of Eicosapentaenoic and Docosahexaenoic Acids in a Danish Population. |
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المؤلفون: | Aristizabal-Henao JJ; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada; Platforms and Translational Sciences, BPGbio Inc., Framingham, MA, United States., Biltoft-Jensen AP; National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark., Christensen T; National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark., Stark KD; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada. Electronic address: kstark@uwaterloo.ca. |
المصدر: | The Journal of nutrition [J Nutr] 2024 Jul; Vol. 154 (7), pp. 2108-2119. Date of Electronic Publication: 2024 May 04. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 0404243 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-6100 (Electronic) Linking ISSN: 00223166 NLM ISO Abbreviation: J Nutr Subsets: MEDLINE |
أسماء مطبوعة: | Publication: 2023- : [New York, NY] : Elsevier Original Publication: 1928-1933 : Springfield, Ill. : C. C. Thomas |
مواضيع طبية MeSH: | Eicosapentaenoic Acid*/blood , Eicosapentaenoic Acid*/administration & dosage , Docosahexaenoic Acids*/blood , Docosahexaenoic Acids*/administration & dosage , Biomarkers*/blood , Lipidomics*, Humans ; Female ; Male ; Denmark ; Middle Aged ; Adult ; Diet ; Fatty Acids/blood ; Aged ; Diet Records |
مستخلص: | Background: The intake of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been associated with health benefits. Blood levels of these fatty acids, measured by gas chromatography (GC), are associated with their dietary intake, but the relationships with lipidomic measurements are not well defined. Objectives: This study aimed to determine the lipidomic biomarkers in whole blood that predict intakes of EPA + DHA and examine the relationship between lipidomic and GC-based n-3 polyunsaturated fatty acid (n-3 PUFA) biomarkers. Methods: Lipidomic and fatty acid analyses were completed on 120 whole blood samples collected from Danish participants. Dietary intakes were completed using a web-based 7-d food diary. Stepwise multiple linear regression was used to identify the fatty acid and lipidomic variables that predict intakes of EPA + DHA and to determine lipidomic species that predict commonly used fatty acid biomarkers. Results: Stepwise regression selected lipidomic variables with an R 2 = 0.52 for predicting EPA + DHA intake compared to R 2 = 0.40 for the selected fatty acid GC-based variables. More predictive models were generated when the lipidomic variables were selected for females only (R 2 = 0.62, n = 68) and males only (R 2 = 0.72, n = 52). Phosphatidylethanolamine plasmalogen species containing EPA or DHA tended to be the most predictive lipidomic variables. Stepwise regression also indicated that selected lipidomic variables can predict commonly used fatty acid GC-based n-3 PUFA biomarkers as the R 2 values ranged from 0.84 to 0.91. Conclusions: Both fatty acid and lipidomic data can be used to predict EPA + DHA intakes, and fatty acid GC-based biomarkers can be emulated by lipidomic species. Lipidomic-based biomarkers appear to be influenced by sex differences, probably in n-3 PUFA and lipoprotein metabolism. These results improve our ability to understand the relationship between novel lipidomic data and GC fatty acid data and will increase our ability to apply lipidomic methods to fatty acid and lipid nutritional research. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.) |
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فهرسة مساهمة: | Keywords: blood biomarkers; dietary assessment; dietary intake; docosahexaenoic acid; eicosapentaenoic acid; gas chromatography; lipidomics; omega-3 polyunsaturated fatty acids; tandem mass spectrometry |
المشرفين على المادة: | AAN7QOV9EA (Eicosapentaenoic Acid) 25167-62-8 (Docosahexaenoic Acids) 0 (Biomarkers) 0 (Fatty Acids) |
تواريخ الأحداث: | Date Created: 20240506 Date Completed: 20240705 Latest Revision: 20240729 |
رمز التحديث: | 20240729 |
مُعرف محوري في PubMed: | PMC11282468 |
DOI: | 10.1016/j.tjnut.2024.04.038 |
PMID: | 38710305 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1541-6100 |
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DOI: | 10.1016/j.tjnut.2024.04.038 |