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Ly R, MacIntyre BC, Philips SM, McGlory C, Mutch DM, Britz-McKibbin P. Lipidomic studies reveal two specific circulating phosphatidylcholines as surrogate biomarkers of the omega-3 index. J Lipid Res 2023; 64:100445. [PMID: 37730162 PMCID: PMC10622695 DOI: 10.1016/j.jlr.2023.100445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 09/22/2023] Open
Abstract
Optimal dietary intake of omega-3 long-chain polyunsaturated fatty acids (n3-LCPUFAs) is critical to human health across the lifespan. However, omega-3 index (O3I) determination is not routinely assessed due to complicated procedures for n3-LCPUFA analysis from the phospholipid (PL) fraction of erythrocytes. Herein, a high-throughput method for lipidomics based on multisegment injection-nonaqueous capillary electrophoresis-mass spectrometry was applied to identify circulating PLs as surrogate biomarkers of O3I in two randomized placebo-controlled trials. An untargeted lipidomic data workflow using a subgroup analysis of serum extracts from sunflower oil versus high-dose fish oil (FO)-supplemented participants revealed that ingested n3-LCPUFAs were primarily distributed as their phosphatidylcholines (PCs) relative to other PL classes. In both high-dose FO (5.0 g/day) and EPA-only trials (3.0 g/day), PC (16:0_20:5) was the most responsive PL, whereas PC (16:0_22:6) was selective to DHA-only supplementation. We also demonstrated that the sum concentration of both these PCs in fasting serum or plasma samples was positively correlated to the O3I following FO (r = 0.708, P = 1.02 × 10-11, n = 69) and EPA- or DHA-only supplementation (r = 0.768, P = 1.01 × 10-33, n = 167). Overall, DHA was more effective in improving the O3I (ΔO3I = 4.90 ± 1.33%) compared to EPA (ΔO3I = 2.99 ± 1.19%) in young Canadian adults who had a poor nutritional status with an O3I (3.50 ± 0.68%) at baseline. Our method enables the rapid assessment of the O3I by directly measuring two circulating PC species in small volumes of blood, which may facilitate screening applications for population and precision health.
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Affiliation(s)
- Ritchie Ly
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Brittany C MacIntyre
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Stuart M Philips
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada
| | - Chris McGlory
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada; School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - David M Mutch
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada.
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Schuchardt JP, Cerrato M, Ceseri M, DeFina LF, Delgado GE, Gellert S, Hahn A, Howard BV, Kadota A, Kleber ME, Latini R, Maerz W, Manson JE, Mora S, Park Y, Sala-Vila A, von Schacky C, Sekikawa A, Tintle N, Tucker KL, Vasan RS, Harris WS. Red blood cell fatty acid patterns from 7 countries: Focus on the Omega-3 index. Prostaglandins Leukot Essent Fatty Acids 2022; 179:102418. [PMID: 35366625 PMCID: PMC10440636 DOI: 10.1016/j.plefa.2022.102418] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 11/29/2022]
Abstract
Red blood cell (RBC) fatty acid (FA) patterns are becoming recognized as long-term biomarkers of tissue FA composition, but different analytical methods have complicated inter-study and international comparisons. Here we report RBC FA data, with a focus on the Omega-3 Index (EPA + DHA in% of total FAs in RBC), from samples of seven countries (USA, Canada, Italy, Spain, Germany, South Korea, and Japan) including 167,347 individuals (93% of all samples were from the US). FA data were generated by a uniform methodology from a variety of interventional and observational studies and from clinical laboratories. The cohorts differed in size, demographics, health status, and year of collection. Only the Canadian cohort was a formal, representative population-based survey. The mean Omega-3 Index of each country was categorized as desirable (>8%), moderate (>6% to 8%), low (>4% to 6%), or very low (≤4%). Only cohorts from Alaska (treated separately from the US), South Korea and Japan showed a desirable Omega-3 Index. The Spanish cohort had a moderate Omega-3 Index, while cohorts from the US, Canada, Italy, and Germany were all classified as low. This study is limited by the use of cohorts of convenience and small sample sizes in some countries. Countries undertaking national health status studies should utilize a uniform method to measure Omega-3 FA levels.
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Affiliation(s)
- Jan Philipp Schuchardt
- Institute of Food Science and Human Nutrition, Leibniz University Hannover, Am Kleinen Felde 30, Hannover 30167, Germany; The Fatty Acid Research Institute, Sioux Falls, SD, USA.
| | - Marianna Cerrato
- Department of Cardiovascular Medicine, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Martina Ceseri
- Department of Cardiovascular Medicine, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sandra Gellert
- Institute of Food Science and Human Nutrition, Leibniz University Hannover, Am Kleinen Felde 30, Hannover 30167, Germany
| | - Andreas Hahn
- Institute of Food Science and Human Nutrition, Leibniz University Hannover, Am Kleinen Felde 30, Hannover 30167, Germany
| | | | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Roberto Latini
- Department of Cardiovascular Medicine, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Winfried Maerz
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria; Medical Clinic V, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; SYNLAB Academy, Mannheim, Germany
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Samia Mora
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yongsoon Park
- The Fatty Acid Research Institute, Sioux Falls, SD, USA; Department of Food and Nutrition, Hanyang University, Seoul, South Korea
| | - Aleix Sala-Vila
- The Fatty Acid Research Institute, Sioux Falls, SD, USA; Cardiovascular risk and nutrition group, IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain
| | | | - Akira Sekikawa
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nathan Tintle
- The Fatty Acid Research Institute, Sioux Falls, SD, USA; Department of Population Health Nursing Science, College of Nursing, University of Illinois - Chicago, Chicago, IL, USA
| | - Katherine L Tucker
- Department of Biomedical Nutritional Sciences and Center for Population Health, University of Massachusetts Lowell, Lowell, MA, USA
| | - Ramachandran S Vasan
- Department of Medicine, Preventive Medicine & Epidemiology, School of Medicine, Boston University, Boston, MA, USA
| | - William S Harris
- The Fatty Acid Research Institute, Sioux Falls, SD, USA; Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
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Importance of EPA and DHA Blood Levels in Brain Structure and Function. Nutrients 2021; 13:nu13041074. [PMID: 33806218 PMCID: PMC8066148 DOI: 10.3390/nu13041074] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 12/14/2022] Open
Abstract
Brain structure and function depend on a constant and sufficient supply with eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) by blood. Blood levels of EPA and DHA reflect dietary intake and other variables and are preferably assessed as percentage in erythrocytes with a well-documented and standardized analytical method (HS-Omega-3 Index®). Every human being has an Omega-3 Index between 2 and 20%, with an optimum of 8–11%. Compared to an optimal Omega-3 Index, a lower Omega-3 Index was associated with increased risk for total mortality and ischemic stroke, reduced brain volume, impaired cognition, accelerated progression to dementia, psychiatric diseases, compromises of complex brain functions, and other brain issues in epidemiologic studies. Most intervention trials, and their meta-analyses considered EPA and DHA as drugs with good bioavailability, a design tending to produce meaningful results in populations characterized by low baseline blood levels (e.g., in major depression), but otherwise responsible for many neutral results and substantial confusion. When trial results were evaluated using blood levels of EPA and DHA measured, effects were larger than comparing EPA and DHA to placebo groups, and paralleled epidemiologic findings. This indicates future trial design, and suggests a targeted use EPA and DHA, based on the Omega-3 Index.
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