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O'Connor S, Greffard K, Leclercq M, Julien P, Weisnagel SJ, Gagnon C, Droit A, Bilodeau J, Rudkowska I. Increased Dairy Product Intake Alters Serum Metabolite Profiles in Subjects at Risk of Developing Type 2 Diabetes. Mol Nutr Food Res 2019; 63:e1900126. [DOI: 10.1002/mnfr.201900126] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 07/15/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Sarah O'Connor
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Kinesiology, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Karine Greffard
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
| | - Mickael Leclercq
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Molecular Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Pierre Julien
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Stanley John Weisnagel
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Claudia Gagnon
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Arnaud Droit
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Molecular Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Jean‐François Bilodeau
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Medicine, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
| | - Iwona Rudkowska
- Endocrinology and Nephrology UnitCHU de Québec‐Université Laval Research Center 2705 Laurier Boulevard G1V 4G2 Québec Canada
- Department of Kinesiology, Faculty of MedicineUniversité Laval 1050 de la Médecine Avenue G1V 0A6 Québec Canada
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Huang L, Lin JS, Aris IM, Yang G, Chen WQ, Li LJ. Circulating Saturated Fatty Acids and Incident Type 2 Diabetes: A Systematic Review and Meta-Analysis. Nutrients 2019; 11:nu11050998. [PMID: 31052447 PMCID: PMC6566227 DOI: 10.3390/nu11050998] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 04/28/2019] [Accepted: 04/30/2019] [Indexed: 01/05/2023] Open
Abstract
The effect of saturated fatty acids (SFAs) on incident type 2 diabetes (T2D) is controversial and few have systematically appraised the evidence. We conducted a comprehensive search of prospective studies examining these relationships that were published in PubMed, Web of Science, or EMBASE from 21 February 1989 to 21 February 2019. A total of 19 studies were included for systematic review and 10 for meta-analysis. We estimated the summarized relative risk (RR) and 95% confidence interval (95% CI) using a random (if I2 > 50%) or a fixed effects model (if I2 ≤ 50%). Although the included studies reported inconclusive results, the majority supported a protective effect of odd-chain and an adverse impact of even-chain SFAs. Meta-analysis showed that the per standard deviation (SD) increase in odd-chain SFAs was associated with a reduced risk of incident T2D (C15:0: 0.86, 0.76–0.98; C17:0: 0.76, 0.59–0.97), while a per SD increase in one even-chain SFA was associated with an increased risk of incident T2D (C14:0: 1.13, 1.09–1.18). No associations were found between other SFAs and incident T2D. In conclusion, our findings suggest an overall protective effect of odd-chain SFAs and the inconclusive impact of even- and very-long-chain SFAs on incident T2D.
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Affiliation(s)
- Lihua Huang
- Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Jie-Sheng Lin
- Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119074 Singapore, Singapore.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
| | - Guiyou Yang
- Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Wei-Qing Chen
- Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
- Department of Information Management, Xinhua College, Sun Yat-sen University, Guangzhou 510520, China.
| | - Ling-Jun Li
- Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore 229899, Singapore.
- Obstetrics and Gynecology Academic Clinical Program, Duke-NUS Medical School, Singapore 169857, Singapore.
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore.
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53
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Miles FL, Lloren JIC, Haddad E, Jaceldo-Siegl K, Knutsen S, Sabate J, Fraser GE. Plasma, Urine, and Adipose Tissue Biomarkers of Dietary Intake Differ Between Vegetarian and Non-Vegetarian Diet Groups in the Adventist Health Study-2. J Nutr 2019; 149:667-675. [PMID: 30770530 PMCID: PMC6461718 DOI: 10.1093/jn/nxy292] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/01/2018] [Accepted: 10/30/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Differences in food composition, nutrient intake, and various health outcomes have been reported for vegetarians and non-vegetarians in the Adventist Health Study-2 (AHS-2) cohort. OBJECTIVE We sought to determine whether biomarkers of dietary intake also differed between individuals classified as vegetarian (vegan, lacto-ovo-vegetarian, pesco-vegetarian, semi-vegetarian) and non-vegetarians based on patterns of consumption of meat, dairy, and eggs. METHODS Fasting plasma, overnight urine, and adipose tissue samples were collected from a representative subset of AHS-2 participants classified into 5 diet groups (vegan, lacto-ovo-vegetarian, pesco-vegetarian, semi-vegetarian, non-vegetarian) who also completed food-frequency questionnaires. Diet-related biomarkers including carotenoids, isoflavones, enterolactone, saturated and polyunsaturated fatty acids, and vitamins were analyzed in 840 male and female participants. Multiple linear regression was used to examine the association between diet pattern and biomarker abundance, comparing each of 4 vegetarian dietary groups to non-vegetarians, and adjusted mean values were calculated. Bonferroni correction was applied to control for multiple testing. RESULTS Vegans had higher plasma total carotenoid concentrations (1.6-fold, P < 0.0001), and higher excretion of urinary isoflavones (6-fold, P < 0.0001) and enterolactone (4.4-fold) compared with non-vegetarians. Vegans had lower relative abundance of saturated fatty acids including myristic, pentadecanoic, palmitic, and stearic acids (P < 0.0001). Vegans had higher linoleic acid (18:2ω-6) relative to non-vegetarians (23.3% compared with 19.1%) (P < 0.0001), and a higher proportion of total ω-3 fatty acids (2.1% compared with 1.6%) (P < 0.0001). Results overall were similar but less robust for lacto-ovo- and pesco-vegetarians. 1-Methylhistidine was 92% lower in vegans, and lower in lacto-ovo- and pesco-vegetarians by 90% and 80%, respectively, relative to non-vegetarians (P < 0.0001). CONCLUSION AHS-2 participants following vegan, and lacto-ovo- or pesco-vegetarian diet patterns have significant differences in plasma, urine, and adipose tissue biomarkers associated with dietary intakes compared with those who consume a non-vegetarian diet. These findings provide some validation for the prior classification of dietary groups within the AHS-2 cohort.
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Affiliation(s)
- Fayth L Miles
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA
- Address correspondence to FLM (e-mail: )
| | - Jan Irene C Lloren
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
| | - Ella Haddad
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
| | - Karen Jaceldo-Siegl
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
| | - Synnove Knutsen
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
| | - Joan Sabate
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
| | - Gary E Fraser
- Adventist Health Study, School of Public Health, Loma Linda University, Loma Linda, CA
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA
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54
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Pranger IG, Corpeleijn E, Muskiet FAJ, Kema IP, Singh-Povel C, Bakker SJL. Circulating fatty acids as biomarkers of dairy fat intake: data from the lifelines biobank and cohort study. Biomarkers 2019; 24:360-372. [PMID: 30773031 DOI: 10.1080/1354750x.2019.1583770] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background: C14:0, C15:0, C17:0 and trans-C16:1(n-7) are often used as biomarkers for dairy fat intake. Trans-C18:1(n-7) and CLA, two fatty acids which are also present in dairy, have hardly been explored. We investigated whether trans-C18:1(n-7) and CLA can enrich the existing biomarker portfolio. Methods: Data were obtained from Lifelines (n = 769). Dairy fat intake was determined by FFQ. Fatty acids were measured in fasting plasma triglycerides (TG), phospholipids (PL) and cholesterol esters (CE). Results: Median (25th-75th percentile) intakes of dairy and dairy fat were 322(209-447) and 12.3(8.4-17.4) g/d respectively. A pilot study showed that trans-C18:1(n-7) and CLA were only detectable in TG and PL. Of the established markers, TG C15:0 was most strongly associated with dairy fat intake (standardized β (std.β) = 0.286, R2 = 0.111). Of the less established markers, TG trans-C18:1(n-7) was most strongly associated with dairy fat intake (Std.β = 0.292, R2 = 0.115), followed by PL CLA (Std.β = 0.272, R2 = 0.103) and PL trans-C18:1(n-7) (Std.β = 0.269, R2 = 0.099). In TG, a combination of C15:0 and trans-C18:1(n-7) performed best (R2 = 0.128). In PL, a combination of C14:0, C15:0, trans-C18:1(n-7) and CLA performed best (R2 = 0.143). Conclusion: Trans-C18:1(n-7) and CLA can be used as biomarkers of dairy fat intake. Additionally, combining established with less established markers allowed even stronger predictions for dairy fat intake.
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Affiliation(s)
- Ilse G Pranger
- a Department of Internal Medicine , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands
| | - Eva Corpeleijn
- b Department of Epidemiology , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands
| | - Frits A J Muskiet
- c Department of Laboratory Medicine , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands
| | - Ido P Kema
- c Department of Laboratory Medicine , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands
| | | | - Stephan J L Bakker
- a Department of Internal Medicine , University Medical Center Groningen and University of Groningen , Groningen , The Netherlands
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Gao S, Wan Y, Li W, Huang C. Visualized Networking of Co-Regulated Lipids in Human Blood Based on High-Throughput Screening Data: Implications for Exposure Assessment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:2862-2872. [PMID: 30739451 DOI: 10.1021/acs.est.8b06289] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Exposure to environmental chemicals could disturb lipidome homeostasis in biotas. Comprehensive identification and interpretation of lipid molecules in biological samples are of great importance to elucidate the potential changes in lipid homeostasis upon exposure to various environmental stimuli. In this study, a total of 156 human blood samples were collected including 108 general citizens (control group) and 48 employees in a municipal solid waste incineration (MSWI) plant (occupational exposure group). More than 1500 lipid molecules, belonging to five lipid classes, were screened in the blood samples by UPLC-QTOF-MS in the MSE acquisition mode. All of the coupled compounds with correlation coefficients ( R) of 0.7 or higher were selected for automated network correlation analysis. A global visual network was automatically produced from thousands of coregulated lipid species in the blood samples. In the automatically produced molecular network, the distributions of the major correlated lipids were in accordance with their metabolic pathways in the KEGG map. Different lipidomic profiles in the blood samples from the two groups of people were easily observed by this visualization technique. Among the intrinsic lipid classes, glycererides and sterol lipids might represent the most sensitively affected lipids upon exposure to various pollutants emitted from the MSWI plant. The visualized network of coregulated lipids identified in human blood presents a new approach for interpreting the metabolic relationships among the thousands of metabolites identified in toxicological and epidemiological studies.
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Affiliation(s)
- Shixiong Gao
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Yi Wan
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Wenjuan Li
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
| | - Chong Huang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences , Peking University , Beijing 100871 , China
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56
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The elongation of very long-chain fatty acid 6 gene product catalyses elongation of n-13 : 0 and n-15 : 0 odd-chain SFA in human cells. Br J Nutr 2019; 121:241-248. [PMID: 30602402 DOI: 10.1017/s0007114518003185] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Normal odd-chain SFA (OCSFA), particularly tridecanoic acid (n-13 : 0), pentadecanoic acid (n-15 : 0) and heptadecanoic acid (n-17 : 0), are normal components of dairy products, beef and seafood. The ratio of n-15 : 0:n-17 : 0 in ruminant foods (dairy products and beef) is 2:1, while in seafood and human tissues it is 1:2, and their appearance in plasma is often used as a marker for ruminant fat intake. Human elongases encoded by elongation of very long-chain fatty acid (ELOVL)1, ELOVL3, ELOVL6 and ELOVL7 catalyse biosynthesis of the dominant even-chain SFA; however, there are no reports of elongase function on OCSFA. ELOVL transfected MCF7 cells were treated with n-13 : 0, n-15 : 0 or n-17 : 0 (80 µm) and products analysed. ELOVL6 catalysed elongation of n-13 : 0→n-15 : 0 and n-15 : 0→n-17 : 0; and ELOVL7 had modest activity toward n-15 : 0 (n-15 : 0→n-17 : 0). No elongation activity was detected for n-17 : 0→n-19 : 0. Our data expand ELOVL specificity to OCSFA, providing the first molecular evidence demonstrating ELOVL6 as the major elongase acting on OCSFA n-13 : 0 and n-15 : 0 fatty acids. Studies of food intake relying on OCSFA as a biomarker should consider endogenous human metabolism when relying on OCSFA ratios to indicate specific food intake.
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57
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de Oliveira Otto MC, Mozaffarian D. Reply to H Kahleova and ND Barnard. Am J Clin Nutr 2019; 109:220-221. [PMID: 30624590 DOI: 10.1093/ajcn/nqy278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Marcia C de Oliveira Otto
- From the Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
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58
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Jiménez-Cepeda A, Dávila-Said G, Orea-Tejeda A, González-Islas D, Elizondo-Montes M, Pérez-Cortes G, Keirns-Davies C, Castillo-Aguilar LF, Verdeja-Vendrell L, Peláez-Hernández V, Sánchez-Santillán RN. Dietary intake of fatty acids and its relationship with FEV 1/FVC in patients with chronic obstructive pulmonary disease. Clin Nutr ESPEN 2018; 29:92-96. [PMID: 30661707 DOI: 10.1016/j.clnesp.2018.11.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 11/08/2018] [Accepted: 11/26/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS The deterioration of pulmonary function has been associated with increased levels of systemic inflammation that can be stimulated by consumption of saturated fatty acids and trans fats. We hypothesized that fatty acids intake impact on pulmonary function. However, evidence about the impact of different types of fatty acids on pulmonary function in patients with chronic obstructive pulmonary disease (COPD) is limited and heterogeneous. The aim of this study was to evaluate the association between intake of fatty acids and pulmonary function in patients with COPD. METHODS Cross sectional study of patients diagnosed with COPD. The relationship between consumption of fatty acids and the FEV1/FVC ratio obtained by spirometry was assessed. Patients with exacerbations during the prior 2 months, diagnosis of asthma or administration of a dietary supplement were excluded. RESULTS A simple linear regression showed that for each gram of carbohydrates and total l fatty acids intake, the FEV1/FVC ratio decreased -0.03 ml (β: -0.03, 95% CI -0.06 to -0.01, p = 0.008) and -0.009 ml (β: -0.00, 95% CI -0.02 to 0.00, p = 0.031) respectively. Pentadecanoic acid (C15:0) was associated with an increase of 0.47 ml in the FEV1/FVC ratio for each milligram intake (β: 0.47, 95% CI 0.04 to 0.91, p = 0.031). Subsequently, when adjusted for calories intake, an increase of 0.53 ml was observed in the FEV1/FVC for each milligram of C15:0 fatty acid intake (β:0.53, 95% CI 0.09 to 0.97, p = 0.018). CONCLUSION A positive association was observed between pentadecanoic acid and the FEV1/FVC ratio with a beneficial effect on patients with COPD.
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Affiliation(s)
- Abril Jiménez-Cepeda
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Giselle Dávila-Said
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Arturo Orea-Tejeda
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Dulce González-Islas
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Marcela Elizondo-Montes
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Guillermo Pérez-Cortes
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Candace Keirns-Davies
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Luis Felipe Castillo-Aguilar
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Leslie Verdeja-Vendrell
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Viridiana Peláez-Hernández
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
| | - Rocío Nayelí Sánchez-Santillán
- Heart Failure and Respiratory Distress Clinic at Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City, Mexico.
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59
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Razquin C, Toledo E, Clish CB, Ruiz-Canela M, Dennis C, Corella D, Papandreou C, Ros E, Estruch R, Guasch-Ferré M, Gómez-Gracia E, Fitó M, Yu E, Lapetra J, Wang D, Romaguera D, Liang L, Alonso-Gómez A, Deik A, Bullo M, Serra-Majem L, Salas-Salvadó J, Hu FB, Martínez-González MA. Plasma Lipidomic Profiling and Risk of Type 2 Diabetes in the PREDIMED Trial. Diabetes Care 2018; 41:2617-2624. [PMID: 30327364 PMCID: PMC6245212 DOI: 10.2337/dc18-0840] [Citation(s) in RCA: 147] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 09/07/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Specific lipid molecular changes leading to type 2 diabetes (T2D) are largely unknown. We assessed lipidome factors associated with future occurrence of T2D in a population at high cardiovascular risk. RESEARCH DESIGN AND METHODS We conducted a case-cohort study nested within the PREDIMED trial, with 250 incident T2D cases diagnosed during 3.8 years of median follow-up, and a random sample of 692 participants (639 noncases and 53 overlapping cases) without T2D at baseline. We repeatedly measured 207 plasma known lipid metabolites at baseline and after 1 year of follow-up. We built combined factors of lipid species using principal component analysis and assessed the association between these lipid factors (or their 1-year changes) and T2D incidence. RESULTS Baseline lysophosphatidylcholines and lysophosphatidylethanolamines (lysophospholipids [LPs]), phosphatidylcholine-plasmalogens (PC-PLs), sphingomyelins (SMs), and cholesterol esters (CEs) were inversely associated with risk of T2D (multivariable-adjusted P for linear trend ≤0.001 for all). Baseline triacylglycerols (TAGs), diacylglycerols (DAGs), and phosphatidylethanolamines (PEs) were positively associated with T2D risk (multivariable-adjusted P for linear trend <0.001 for all). One-year changes in these lipids showed associations in similar directions but were not significant after adjustment for baseline levels. TAGs with odd-chain fatty acids showed inverse associations with T2D after adjusting for total TAGs. CONCLUSIONS Two plasma lipid profiles made up of different lipid classes were found to be associated with T2D in participants at high cardiovascular risk. A profile including LPs, PC-PLs, SMs, and CEs was associated with lower T2D risk. Another profile composed of TAGs, DAGs, and PEs was associated with higher T2D risk.
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Affiliation(s)
- Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Clary B Clish
- Broad Institute of MIT and Harvard University, Cambridge, MA
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Courtney Dennis
- Broad Institute of MIT and Harvard University, Cambridge, MA
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Christopher Papandreou
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomediques August Pi Sunyer (IDI-BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomediques August Pi Sunyer (IDI-BAPS), Barcelona, Spain
| | - Marta Guasch-Ferré
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Malaga, Malaga, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Edward Yu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - Dong Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital of Son Espases, Palma de Mallorca, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Angel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Amy Deik
- Broad Institute of MIT and Harvard University, Cambridge, MA
| | - Mónica Bullo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, Las Palmas de Gran Canaria, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Jenkins B, Aoun M, Feillet-Coudray C, Coudray C, Ronis M, Koulman A. The Dietary Total-Fat Content Affects the In Vivo Circulating C15:0 and C17:0 Fatty Acid Levels Independently. Nutrients 2018; 10:nu10111646. [PMID: 30400275 PMCID: PMC6266905 DOI: 10.3390/nu10111646] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 10/23/2018] [Accepted: 11/01/2018] [Indexed: 01/30/2023] Open
Abstract
Pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) have been described as dietary biomarkers of dairy-fat consumption, with varying degrees of reliability between studies. It remains unclear how the total amount of dietary fat, representing one of the main confounding factors in these biomarker investigations, affects C15:0 and C17:0 circulating concentrations independent of their relative intake. Additionally, it is not clear how changes in the dietary total-fat affects other fatty acids in circulation. Through two dietary studies with different total-fat levels but maintaining identical fatty acid compositions, we were able to see how the dietary total-fat affects the fatty acids in circulation. We saw that there was a statistically significant, proportionate, and robust decrease in the endogenous C15:0 levels with an increase in dietary total-fat. However, there was no significant change in the circulating C17:0 concentrations as the total-fat increased. To conclude, the dietary total-fat content and fat-type have a very complex influence on the relative compositions of circulating fatty acids, which are independent of the actual dietary fatty acid composition. Knowing how to manipulate circulating C15:0 and C17:0 concentrations is far-reaching in nutritional/pathological research as they highlight a dietary route to attenuate the development of metabolic disease (both by reducing risk and improving prognosis).
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Affiliation(s)
- Benjamin Jenkins
- NIHR Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge CB2 0QQ, UK.
| | - Manar Aoun
- DMEM, INRA, Univ. Montpellier, 34060 Montpellier, France.
| | | | | | - Martin Ronis
- College of Medicine, Department of Pharmacology & Experimental Therapeutics, Louisiana State University Health Sciences Centre, 1901 Perdido Str., New Orleans, LA 70112, USA.
| | - Albert Koulman
- NIHR Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge CB2 0QQ, UK.
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61
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Prodhan UK, Milan AM, Thorstensen EB, Barnett MPG, Stewart RAH, Benatar JR, Cameron-Smith D. Altered Dairy Protein Intake Does Not Alter Circulatory Branched Chain Amino Acids in Healthy Adults: A Randomized Controlled Trial. Nutrients 2018; 10:nu10101510. [PMID: 30326639 PMCID: PMC6213722 DOI: 10.3390/nu10101510] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/08/2018] [Accepted: 10/12/2018] [Indexed: 02/07/2023] Open
Abstract
Dairy, as a major component of a high protein diet, is a critical dietary source of branched chain amino acids (BCAA), which are biomarkers of health and diseases. While BCAA are known to be key stimulators of protein synthesis, elevated circulatory BCAA is an independent risk factor for type 2 diabetes mellitus. This study examined the impact of altered dairy intake on plasma BCAA and their potential relationship to insulin sensitivity. Healthy adults (n = 102) were randomized to receive dietary advice to reduce, maintain, or increase habitual dairy intake for 1 month. Food intake was recorded with food frequency questionnaires. Self-reported protein intake from dairy was reported to be reduced (−14.6 ± 3.0 g/day), maintained (−4.0 ± 2.0 g/day) or increased (+13.8 ± 4.1 g/day) according to group allocation. No significant alterations in circulating free amino acids (AA), including BCAA, were measured. Insulin sensitivity, as assessed by homeostatic model assessment-insulin resistance (HOMA-IR), was also unaltered. A significant change in dairy protein intake showed no significant effect on fasting circulatory BCAA and insulin sensitivity in healthy populations.
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Affiliation(s)
- Utpal K Prodhan
- Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
- Department of Food Technology and Nutritional Science, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
- Riddet Institute, Palmerston North 4442, New Zealand.
| | - Amber M Milan
- Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
| | - Eric B Thorstensen
- Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
| | - Matthew P G Barnett
- Riddet Institute, Palmerston North 4442, New Zealand.
- Food Nutrition & Health Team, AgResearch Limited, Private Bag 11008, Palmerston North 4442, New Zealand.
- The High-Value Nutrition National Science Challenge, Auckland-1023, New Zealand.
| | - Ralph A H Stewart
- School of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
- Green Lane Cardiovascular Service, Auckland City Hospital, Auckland 1030, New Zealand.
| | - Jocelyn R Benatar
- School of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
- Green Lane Cardiovascular Service, Auckland City Hospital, Auckland 1030, New Zealand.
| | - David Cameron-Smith
- Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland 1023, New Zealand.
- Riddet Institute, Palmerston North 4442, New Zealand.
- Food & Bio-Based Products Group, AgResearch Limited, Private Bag 11008, Palmerston North 4442, New Zealand.
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62
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Imamura F, Fretts A, Marklund M, Ardisson Korat AV, Yang WS, Lankinen M, Qureshi W, Helmer C, Chen TA, Wong K, Bassett JK, Murphy R, Tintle N, Yu CI, Brouwer IA, Chien KL, Frazier-Wood AC, del Gobbo LC, Djoussé L, Geleijnse JM, Giles GG, de Goede J, Gudnason V, Harris WS, Hodge A, Hu F, InterAct Consortium, Koulman A, Laakso M, Lind L, Lin HJ, McKnight B, Rajaobelina K, Risérus U, Robinson JG, Samieri C, Siscovick DS, Soedamah-Muthu SS, Sotoodehnia N, Sun Q, Tsai MY, Uusitupa M, Wagenknecht LE, Wareham NJ, Wu JHY, Micha R, Forouhi NG, Lemaitre RN, Mozaffarian D, Fatty Acids and Outcomes Research Consortium (FORCE). Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies. PLoS Med 2018; 15:e1002670. [PMID: 30303968 PMCID: PMC6179183 DOI: 10.1371/journal.pmed.1002670] [Citation(s) in RCA: 156] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 09/07/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND We aimed to investigate prospective associations of circulating or adipose tissue odd-chain fatty acids 15:0 and 17:0 and trans-palmitoleic acid, t16:1n-7, as potential biomarkers of dairy fat intake, with incident type 2 diabetes (T2D). METHODS AND FINDINGS Sixteen prospective cohorts from 12 countries (7 from the United States, 7 from Europe, 1 from Australia, 1 from Taiwan) performed new harmonised individual-level analysis for the prospective associations according to a standardised plan. In total, 63,682 participants with a broad range of baseline ages and BMIs and 15,180 incident cases of T2D over the average of 9 years of follow-up were evaluated. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Prespecified interactions by age, sex, BMI, and race/ethnicity were explored in each cohort and were meta-analysed. Potential heterogeneity by cohort-specific characteristics (regions, lipid compartments used for fatty acid assays) was assessed with metaregression. After adjustment for potential confounders, including measures of adiposity (BMI, waist circumference) and lipogenesis (levels of palmitate, triglycerides), higher levels of 15:0, 17:0, and t16:1n-7 were associated with lower incidence of T2D. In the most adjusted model, the hazard ratio (95% CI) for incident T2D per cohort-specific 10th to 90th percentile range of 15:0 was 0.80 (0.73-0.87); of 17:0, 0.65 (0.59-0.72); of t16:1n7, 0.82 (0.70-0.96); and of their sum, 0.71 (0.63-0.79). In exploratory analyses, similar associations for 15:0, 17:0, and the sum of all three fatty acids were present in both genders but stronger in women than in men (pinteraction < 0.001). Whereas studying associations with biomarkers has several advantages, as limitations, the biomarkers do not distinguish between different food sources of dairy fat (e.g., cheese, yogurt, milk), and residual confounding by unmeasured or imprecisely measured confounders may exist. CONCLUSIONS In a large meta-analysis that pooled the findings from 16 prospective cohort studies, higher levels of 15:0, 17:0, and t16:1n-7 were associated with a lower risk of T2D.
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Affiliation(s)
- Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Amanda Fretts
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Matti Marklund
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Sweden
| | - Andres V. Ardisson Korat
- Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Wei-Sin Yang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Waqas Qureshi
- Section of Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Bowman Gray Center, Winston-Salem, North Carolina, United States of America
| | - Catherine Helmer
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Tzu-An Chen
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Kerry Wong
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Julie K. Bassett
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Rachel Murphy
- Centre of Excellence in Cancer Prevention, School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, Canada
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt College, Sioux Center, Iowa, United States of America
| | - Chaoyu Ian Yu
- Department of Biostatistics, University of Washington School of Public Health, Seattle, Washington, United States of America
| | - Ingeborg A. Brouwer
- Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Alexis C. Frazier-Wood
- USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Liana C. del Gobbo
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Luc Djoussé
- Divisions of Aging, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - Graham G. Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Australia
| | - Janette de Goede
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association Research Institute, Holtasmári 1, Kópavogur, Iceland, Iceland
| | - William S. Harris
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, United States of America
- OmegaQuant Analytics LLC, Sioux Falls, South Dakota, United States of America
| | - Allison Hodge
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Australia
| | - Frank Hu
- Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - InterAct Consortium
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Albert Koulman
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- National Institute for Health Research Biomedical Research Centres Core Nutritional Biomarker Laboratory, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
- National Institute for Health Research Biomedical Research Centres Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, United Kingdom
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Hung-Ju Lin
- Department of Internal Medicine, National Taiwan University Hospital, Zhongzheng District, Taipei City, Taiwan
| | - Barbara McKnight
- Department of Biostatistics, University of Washington School of Public Health, Seattle, Washington, United States of America
| | - Kalina Rajaobelina
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Sweden
| | - Jennifer G. Robinson
- Departments of Epidemiology and Medicine at the University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Cécilia Samieri
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - David S. Siscovick
- The New York Academy of Medicine, New York, New York, United States of America
| | - Sabita S. Soedamah-Muthu
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
- Center of Research on Psychology in Somatic Diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Qi Sun
- Department of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Lynne E. Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nick J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jason HY Wu
- The George Institute for Global Health and the Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Renata Micha
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America
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Münger LH, Garcia-Aloy M, Vázquez-Fresno R, Gille D, Rosana ARR, Passerini A, Soria-Florido MT, Pimentel G, Sajed T, Wishart DS, Andres Lacueva C, Vergères G, Praticò G. Biomarker of food intake for assessing the consumption of dairy and egg products. GENES & NUTRITION 2018; 13:26. [PMID: 30279743 PMCID: PMC6162878 DOI: 10.1186/s12263-018-0615-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 09/10/2018] [Indexed: 12/20/2022]
Abstract
Dairy and egg products constitute an important part of Western diets as they represent an excellent source of high-quality proteins, vitamins, minerals and fats. Dairy and egg products are highly diverse and their associations with a range of nutritional and health outcomes are therefore heterogeneous. Such associations are also often weak or debated due to the difficulty in establishing correct assessments of dietary intake. Therefore, in order to better characterize associations between the consumption of these foods and health outcomes, it is important to identify reliable biomarkers of their intake. Biomarkers of food intake (BFIs) provide an accurate measure of intake, which is independent of the memory and sincerity of the subjects as well as of their knowledge about the consumed foods. We have, therefore, conducted a systematic search of the scientific literature to evaluate the current status of potential BFIs for dairy products and BFIs for egg products commonly consumed in Europe. Strikingly, only a limited number of compounds have been reported as markers for the intake of these products and none of them have been sufficiently validated. A series of challenges hinders the identification and validation of BFI for dairy and egg products, in particular, the heterogeneous composition of these foods and the lack of specificity of the markers identified so far. Further studies are, therefore, necessary to validate these compounds and to discover new candidate BFIs. Untargeted metabolomic strategies may allow the identification of novel biomarkers, which, when taken separately or in combination, could be used to assess the intake of dairy and egg products.
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Affiliation(s)
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Rosa Vázquez-Fresno
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Doreen Gille
- Agroscope, Bern, Switzerland
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | - Albert Remus R Rosana
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Anna Passerini
- University of Copenhagen, NEXS 30, Rolighedsvej, DK-1958 Frederiksberg C, Denmark
| | - María-Trinidad Soria-Florido
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
| | - Grégory Pimentel
- Agroscope, Bern, Switzerland
- Service of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, CHUV, Lausanne, Switzerland
| | - Tanvir Sajed
- Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
- Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Cristina Andres Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | | | - Giulia Praticò
- University of Copenhagen, NEXS 30, Rolighedsvej, DK-1958 Frederiksberg C, Denmark
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64
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de Oliveira Otto MC, Lemaitre RN, Song X, King IB, Siscovick DS, Mozaffarian D. Serial measures of circulating biomarkers of dairy fat and total and cause-specific mortality in older adults: the Cardiovascular Health Study. Am J Clin Nutr 2018; 108:476-484. [PMID: 30007304 PMCID: PMC6299165 DOI: 10.1093/ajcn/nqy117] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/08/2018] [Indexed: 12/16/2022] Open
Abstract
Background Controversy has emerged about the benefits compared with harms of dairy fat, including concerns over long-term effects. Previous observational studies have assessed self-reported estimates of consumption or a single biomarker measure at baseline, which may lead to suboptimal estimation of true risk. Objective The aim of this study was to investigate prospective associations of serial measures of plasma phospholipid fatty acids pentadecanoic (15:0), heptadecanoic (17:0), and trans-palmitoleic (trans-16:1n-7) acids with total mortality, cause-specific mortality, and cardiovascular disease (CVD) risk among older adults. Design Among 2907 US adults aged ≥65 y and free of CVD at baseline, circulating fatty acid concentrations were measured serially at baseline, 6 y, and 13 y. Deaths and CVD events were assessed and adjudicated centrally. Prospective associations were assessed by multivariate-adjusted Cox models incorporating time-dependent exposures and covariates. Results During 22 y of follow-up, 2428 deaths occurred, including 833 from CVD, 1595 from non-CVD causes, and 1301 incident CVD events. In multivariable models, circulating pentadecanoic, heptadecanoic, and trans-palmitoleic acids were not significantly associated with total mortality, with extreme-quintile HRs of 1.05 for pentadecanoic (95% CI: 0.91, 1.22), 1.07 for heptadecanoic (95% CI: 0.93, 1.23), and 1.05 for trans-palmitoleic (95% CI: 0.91, 1.20) acids. Circulating heptadecanoic acid was associated with lower CVD mortality (extreme-quintile HR: 0.77; 95% CI: 0.61, 0.98), especially stroke mortality, with a 42% lower risk when comparing extreme quintiles of heptadecanoic acid concentrations (HR: 0.58; 95% CI: 0.35, 0.97). In contrast, heptadecanoic acid was associated with a higher risk of non-CVD mortality (HR: 1.27; 95% CI: 1.07, 1.52), which was not clearly related to any single subtype of non-CVD death. No significant associations of pentadecanoic, heptadecanoic, or trans-palmitoleic acids were seen for total incident CVD, coronary heart disease, or stroke. Conclusions Long-term exposure to circulating phospholipid pentadecanoic, heptadecanoic, or trans-palmitoleic acids was not significantly associated with total mortality or incident CVD among older adults. High circulating heptadecanoic acid was inversely associated with CVD and stroke mortality and potentially associated with higher risk of non-CVD death.
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Affiliation(s)
- Marcia C de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX,Address correspondence to MCdOO (e-mail: )
| | | | - Xiaoling Song
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Irena B King
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | | | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
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65
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Relative validity and reproducibility of dietary quality scores from a short diet screener in a multi-ethnic Asian population. Public Health Nutr 2018; 21:2735-2743. [DOI: 10.1017/s1368980018001830] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractObjectiveShort screeners for assessing dietary quality are lacking in Asia. We recently developed a short thirty-seven-item diet screener (DS). The present study aimed to evaluate reproducibility and relative validity of the DS in assessing a priori dietary quality indices (DQI; i.e. the Alternative Healthy Eating Index-2010 (AHEI-2010), alternate Mediterranean Diet (aMed) and Dietary Approaches to Stop Hypertension (DASH) diet) and intakes of selected foods.DesignDS administration and biomarker measurement took place twice within a 4-month interval. A 163-item FFQ was administered one month after the second DS administration.SettingSingapore, a multi-ethnic urban Asian country.SubjectsSingapore residents (n 161) aged 18–79 years, of Chinese, Malay and Indian ethnicity.ResultsReproducibility coefficients for the two DS were 0·71 (DQI) and 0·65 (food groups). Correlations (ρ) between mean DS and FFQ DQI scores were 0·51 (AHEI-2010), 0·50 (aMed) and 0·61 (DASH; all P<0·05). Cohen’s weighted kappa indicated moderate agreement between the two measures (κw=0·48–0·58). DS DQI scores were associated with concentrations of β-cryptoxanthin (AHEI-2010, ρ=0·26; P<0·05), odd-chain SFA (aMed, ρ=0·24; DASH, ρ=0·25; both P<0·05), and enterolactone, total carotenoids, PUFA and α-linolenic acid (all scores, ρ=0·17–0·30; all P<0·05). Scores were not associated with isoflavone or long-chain n-3 PUFA concentrations.ConclusionsA short screener can be used to assess DQI with good reproducibility and relative validity compared with a longer FFQ in an Asian population.
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de Oliveira Otto MC, Lemaitre RN, Sun Q, King IB, Wu JHY, Manichaikul A, Rich SS, Tsai MY, Chen YD, Fornage M, Weihua G, Aslibekyan S, Irvin MR, Kabagambe EK, Arnett DK, Jensen MK, McKnight B, Psaty BM, Steffen LM, Smith CE, Risérus U, Lind L, Hu FB, Rimm EB, Siscovick DS, Mozaffarian D. Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium. PLoS One 2018; 13:e0196951. [PMID: 29738550 PMCID: PMC5940220 DOI: 10.1371/journal.pone.0196951] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/23/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established. OBJECTIVE To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA. DESIGN We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels. RESULTS We found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37×10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07×10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4×10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5×10-2). CONCLUSIONS Our findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.
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Affiliation(s)
- Marcia C. de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Qi Sun
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Irena B. King
- University of New Mexico, Albuquerque, NM, United States of America
| | - Jason H. Y. Wu
- The George Institute for Global Health and the Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America
| | - Y. D. Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Torrance, CA, United States of America
| | - Myriam Fornage
- Key Laboratory of Nutrition and Metabolism, the University of Texas Health Science Center, School of Public Health, Houston, TX, United States of America
| | - Guan Weihua
- Department of Biostatistics, University of Minnesota, Minneapolis, MN, United States of America
| | - Stella Aslibekyan
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Marguerite R. Irvin
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Edmond K. Kabagambe
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Majken K. Jensen
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston MA, United States of America
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Lyn M. Steffen
- School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Caren E. Smith
- Nutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, MA, United States of America
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Frank B. Hu
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Eric B. Rimm
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health and Channing Division of Network Medicine, and Harvard Medical School, Boston, MA, United States of America
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - David S. Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States of America
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Trimigno A, Münger L, Picone G, Freiburghaus C, Pimentel G, Vionnet N, Pralong F, Capozzi F, Badertscher R, Vergères G. GC-MS Based Metabolomics and NMR Spectroscopy Investigation of Food Intake Biomarkers for Milk and Cheese in Serum of Healthy Humans. Metabolites 2018; 8:E26. [PMID: 29570652 PMCID: PMC6027507 DOI: 10.3390/metabo8020026] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/14/2018] [Accepted: 03/20/2018] [Indexed: 02/08/2023] Open
Abstract
The identification and validation of food intake biomarkers (FIBs) in human biofluids is a key objective for the evaluation of dietary intake. We report here the analysis of the GC-MS and 1H-NMR metabolomes of serum samples from a randomized cross-over study in 11 healthy volunteers having consumed isocaloric amounts of milk, cheese, and a soy drink as non-dairy alternative. Serum was collected at baseline, postprandially up to 6 h, and 24 h after consumption. A multivariate analysis of the untargeted serum metabolomes, combined with a targeted analysis of candidate FIBs previously reported in urine samples from the same study, identified galactitol, galactonate, and galactono-1,5-lactone (milk), 3-phenyllactic acid (cheese), and pinitol (soy drink) as candidate FIBs for these products. Serum metabolites not previously identified in the urine samples, e.g., 3-hydroxyisobutyrate after cheese intake, were detected. Finally, an analysis of the postprandial behavior of candidate FIBs, in particular the dairy fatty acids pentadecanoic acid and heptadecanoic acid, revealed specific kinetic patterns of relevance to their detection in future validation studies. Taken together, promising candidate FIBs for dairy intake appear to be lactose and metabolites thereof, for lactose-containing products, and microbial metabolites derived from amino acids, for fermented dairy products such as cheese.
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Affiliation(s)
- Alessia Trimigno
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 47521 Cesena, Italy.
| | | | - Gianfranco Picone
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 47521 Cesena, Italy.
| | | | | | - Nathalie Vionnet
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, 1011 Lausanne 1005, Switzerland.
| | - François Pralong
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, 1011 Lausanne 1005, Switzerland.
| | - Francesco Capozzi
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 47521 Cesena, Italy.
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Laursen ASD, Dahm CC, Johnsen SP, Schmidt EB, Overvad K, Jakobsen MU. Adipose tissue fatty acids present in dairy fat and risk of stroke: the Danish Diet, Cancer and Health cohort. Eur J Nutr 2018; 58:529-539. [DOI: 10.1007/s00394-018-1608-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 01/04/2018] [Indexed: 01/25/2023]
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Gookin JL, Mathews KG, Cullen J, Seiler G. Qualitative metabolomics profiling of serum and bile from dogs with gallbladder mucocele formation. PLoS One 2018; 13:e0191076. [PMID: 29324798 PMCID: PMC5764353 DOI: 10.1371/journal.pone.0191076] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/26/2017] [Indexed: 01/20/2023] Open
Abstract
Mucocele formation is characterized by secretion of abnormally thick mucus by the gallbladder epithelium of dogs that may cause obstruction of the bile duct or rupture of the gallbladder. The disease is increasingly recognized and is associated with a high morbidity and mortality. The cause of gallbladder mucocele formation in dogs is unknown. There is a strong breed predisposition and affected dogs have a high incidence of concurrent endocrinopathy or hyperlipidemia. These observations suggest a significant influence of both genetic and metabolic factors on disease pathogenesis. In this study, we investigated a theory that mucocele formation is associated with a syndrome of metabolic disruption. We surmised that a global, untargeted metabolomics approach could provide unique insight into the systemic pathogenesis of gallbladder mucocele formation and identify specific compounds as candidate biomarkers or treatment targets. Moreover, concurrent examination of the serum and hepatic duct bile metabolome would enable the construction of mechanism-based theories or identification of specific compounds responsible for altered function of the gallbladder epithelium. Abnormalities observed in dogs with gallbladder mucocele formation, including a 33-fold decrease in serum adenosine 5’-monophosphate (AMP), lower quantities of precursors required for synthesis of energy transporting nucleotides, and increases in citric acid cycle intermediates, suggest excess metabolic energy and a carbon surplus. Altered quantities of compounds involved in protein translation and RNA turnover, together with accumulation of gamma-glutamylated and N-acetylated amino acids in serum suggest abnormal regulation of protein and amino acid metabolism. Increases in lathosterol and 7α-hydroxycholesterol suggest a primary increase in cholesterol synthesis and diversion to bile acid formation. A number of specific biomarker compounds were identified for their ability to distinguish between control dogs and those that formed a gallbladder mucocele. Particularly noteworthy was a significant decrease in quantity of biologically active compounds that stimulate biliary ductal fluid secretion including adenosine, cAMP, taurolithocholic acid, and taurocholic acid. These findings support the presence of significant metabolic disruption in dogs with mucocele formation. A targeted, quantitative analysis of the identified serum biomarkers is warranted to determine their utility for diagnosis of this disease. Finally, repletion of compounds whose biological activity normally promotes biliary ductal secretion should be examined for any therapeutic impact for resolution or prevention of mucocele formation.
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Affiliation(s)
- Jody L Gookin
- Department of Clinical Sciences, College of Veterinary Medicine and Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Kyle G Mathews
- Department of Clinical Sciences, College of Veterinary Medicine and Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, United States of America
| | - John Cullen
- Department of Population Health and Pathobiology, College of Veterinary Medicine and Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Gabriela Seiler
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine and Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, United States of America
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Dairy Products Intake and Endometrial Cancer Risk: A Meta-Analysis of Observational Studies. Nutrients 2017; 10:nu10010025. [PMID: 29283380 PMCID: PMC5793253 DOI: 10.3390/nu10010025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 11/28/2017] [Accepted: 12/11/2017] [Indexed: 01/28/2023] Open
Abstract
Observational studies have suggested inconsistent findings on the relationship between dairy products intake and endometrial cancer risk. This study aimed to conduct a meta-analysis to evaluate this correlation; moreover, databases including PubMed, ISI Web of Science, and Embase were screened for relevant studies up to 26 February 2017. The inverse variance weighting method and random effects models were used to calculate the overall OR (odds ratio) values and 95% confidence interval (CI). A total of 2 cohort study and 16 case-control studies were included in the current analysis. No significant association was observed between endometrial cancer risk and the intake of total dairy products, milk, or cheese for the highest versus the lowest exposure category (total dairy products (14 studies): OR 1.04, 95% CI: 0.97-1.11, I² = 73%, p = 0.000; milk (6 studies): 0.99, 95% CI: 0.89-1.10, I² = 0.0%, p = 0.43; cheese (5 studies): 0.89, 95% CI: 0.76-1.05, I² = 39%, p = 0.16). The only cohort study with a total of 456,513 participants reported a positive association of butter intake with endometrial cancer risk (OR = 1.14; 95% CI = 1.03-1.26, I² = 2.6%, p = 0.31). There was a significant negative association of dairy products intake and endometrial cancer risk among women with a higher body mass index (BMI) (5 studies, OR 0.66, 95% CI = 0.46-0.96, I² = 75.8%, p = 0.002). Stratifying the analyses by risk factors including BMI should be taken into account when exploring the association of dairy products intake with endometrial cancer risk. Further well-designed studies are needed.
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71
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Jenkins B, de Schryver E, Van Veldhoven PP, Koulman A. Peroxisomal 2-Hydroxyacyl-CoA Lyase Is Involved in Endogenous Biosynthesis of Heptadecanoic Acid. Molecules 2017; 22:molecules22101718. [PMID: 29027957 PMCID: PMC6151664 DOI: 10.3390/molecules22101718] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 09/28/2017] [Accepted: 10/03/2017] [Indexed: 12/18/2022] Open
Abstract
Circulating heptadecanoic acid (C17:0) is reported to be a pathology risk/prognosis biomarker and a dietary biomarker. This pathology relationship has been shown to be reliably predictive even when independent of dietary contributions, suggesting that the endogenous biosynthesis of C17:0 is related to the pathological aetiology. Little is known about C17:0 biosynthesis, which tissues contribute to the circulating levels, and how C17:0 is related to pathology. Hacl1+/− mice were mated to obtain Hacl1−/− and Hacl1+/+ control mice. At 14 weeks, they were anesthetized for tissue collection and fatty acid analysis. Compared to Hacl1+/+, C15:0 was not significantly affected in any Hacl1−/− tissues. However, the Hacl1−/− plasma and liver C17:0 levels were significantly lower: ~26% and ~22%, respectively. No significant differences were seen in the different adipose tissues. To conclude, Hacl1 plays a significant role in the liver and plasma levels of C17:0, providing evidence it can be endogenously biosynthesized via alpha-oxidation. The strong inverse association of C17:0 with pathology raises the question whether there is a direct link between α-oxidation and these diseases. Currently, there is no clear evidence, warranting further research into the role of α-oxidation in relation to metabolic diseases.
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Affiliation(s)
- Benjamin Jenkins
- NIHR BRC Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Pathology building Level 4, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.
- Medical Research Council Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
| | - Evelyn de Schryver
- Laboratory of Lipid Biochemistry and Protein Interactions (LIPIT), Campus Gasthuisberg-KU Leuven, Herestraat Box 601, B-3000 Leuven, Belgium.
| | - Paul P. Van Veldhoven
- Laboratory of Lipid Biochemistry and Protein Interactions (LIPIT), Campus Gasthuisberg-KU Leuven, Herestraat Box 601, B-3000 Leuven, Belgium.
| | - Albert Koulman
- NIHR BRC Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Pathology building Level 4, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.
- Medical Research Council Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
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72
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Whitton C, Ho JCY, Tay Z, Rebello SA, Lu Y, Ong CN, van Dam RM. Relative Validity and Reproducibility of a Food Frequency Questionnaire for Assessing Dietary Intakes in a Multi-Ethnic Asian Population Using 24-h Dietary Recalls and Biomarkers. Nutrients 2017; 9:nu9101059. [PMID: 28946670 PMCID: PMC5691676 DOI: 10.3390/nu9101059] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 09/15/2017] [Accepted: 09/19/2017] [Indexed: 11/29/2022] Open
Abstract
The assessment of diets in multi-ethnic cosmopolitan settings is challenging. A semi-quantitative 163-item food frequency questionnaire (FFQ) was developed for the adult Singapore population, and this study aimed to assess its reproducibility and relative validity against 24-h dietary recalls (24 h DR) and biomarkers. The FFQ was administered twice within a six-month interval in 161 adults (59 Chinese, 46 Malay, and 56 Indian). Fasting plasma, overnight urine, and 24 h DR were collected after one month and five months. Intra-class correlation coefficients between the two FFQ were above 0.70 for most foods and nutrients. The median correlation coefficient between energy-adjusted deattenuated FFQ and 24 h DR nutrient intakes was 0.40 for FFQ1 and 0.39 for FFQ2, highest for calcium and iron, and lowest for energy and carbohydrates. Significant associations were observed between urinary isoflavones and soy protein intake (r = 0.46), serum carotenoids and fruit and vegetable intake (r = 0.34), plasma eicosapentaenoic acid and docosahexaenoic acid (EPA + DHA) and fish/seafood intake (r = 0.36), and plasma odd chain saturated fatty acids (SFA) and dairy fat intake (r = 0.25). Associations between plasma EPA + DHA and fish/seafood intake were consistent across ethnic groups (r = 0.28–0.49), while differences were observed for other associations. FFQ assessment of dietary intakes in modern cosmopolitan populations remains feasible for the purpose of ranking individuals’ dietary exposures in epidemiological studies.
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Affiliation(s)
- Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Jolene Chien Yee Ho
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Zoey Tay
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Salome A Rebello
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Yonghai Lu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
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73
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Santaren ID, Watkins SM, Liese AD, Wagenknecht LE, Rewers MJ, Haffner SM, Lorenzo C, Festa A, Bazinet RP, Hanley AJ. Individual serum saturated fatty acids and markers of chronic subclinical inflammation: the Insulin Resistance Atherosclerosis Study. J Lipid Res 2017; 58:2171-2179. [PMID: 28928169 DOI: 10.1194/jlr.p076836] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 09/13/2017] [Indexed: 11/20/2022] Open
Abstract
Recent evidence has documented distinct effects of individual saturated FAs (SFAs) on cardiometabolic outcomes, with potential protective effects from odd- and very long-chain SFAs (VLSFAs). Cross-sectional and prospective associations of individual serum SFAs (12:0, 14:0, 15:0, 16:0, 18:0, 20:0, 22:0, and total SFA) with proinflammatory biomarkers and adiponectin were investigated in 555 adults from the IRAS. Principal component analysis (PCA) of proinflammatory markers yielded three clusters: principal component (PC) 1: fibrinogen, white cell count, C-reactive protein; PC 2: plasminogen activator inhibitor-1 (PAI-1), TNF-α, IL-18; PC 3: IL-6 and IL-8. Cross-sectional analyses on proinflammatory PCs and adiponectin, and prospective analyses on 5 year PAI-1 and fibrinogen concentrations were conducted with multiple regression. Total SFA and 16:0 were positively associated with PC 1 and PC 2, and negatively associated with adiponectin. The 14:0 was positively associated with PC 1 and negatively associated with adiponectin. In contrast, 15:0, 20:0, and 22:0 were negatively associated with PC 2, and 20:0 and 22:0 were positively associated with adiponectin. The 18:0 was negatively associated with PC 3. Prospectively, 15:0, 18:0, 20:0, and 22:0 were negatively associated with 5 year PAI-1 concentrations. The results demonstrate that individual SFAs have distinct roles in subclinical inflammation, highlighting the unique metabolic impacts of individual SFAs.
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Affiliation(s)
- Ingrid D Santaren
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 3E2
| | | | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29201
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Marian J Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Steven M Haffner
- Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX 78229
| | - Carlos Lorenzo
- Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX 78229
| | - Andreas Festa
- 1 Medical Department, LK Stockerau, Niederösterreich, Austria 2000
| | - Richard P Bazinet
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 3E2
| | - Anthony J Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 3E2 .,Leadership Sinai Center for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada M5G 1X5
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74
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da Silva DCG, Segheto W, de Lima MFC, Pessoa MC, Pelúzio MCG, Marchioni DML, Cunha DB, Longo GZ. Using the method of triads in the validation of a food frequency questionnaire to assess the consumption of fatty acids in adults. J Hum Nutr Diet 2017; 31:85-95. [DOI: 10.1111/jhn.12497] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- D. C. G. da Silva
- Department of Nutrition and Health; Federal University of Viçosa; Viçosa Brazil
| | - W. Segheto
- Department of Nutrition and Health; Federal University of Viçosa; Viçosa Brazil
| | - M. F. C. de Lima
- Department of Nutrition and Health; Federal University of Viçosa; Viçosa Brazil
| | - M. C. Pessoa
- Nursing Department; Federal University of Minas Gerais; Belo Horizonte Brazil
| | - M. C. G. Pelúzio
- Department of Nutrition and Health; Federal University of Viçosa; Viçosa Brazil
| | - D. M. L. Marchioni
- Nutrition Department; School of Public Health; University of São Paulo; São Paulo Brazil
| | - D. B. Cunha
- Department of Epidemiology; University of the State Rio de Janeiro; Rio de Janeiro Brazil
| | - G. Z. Longo
- Department of Nutrition and Health; Federal University of Viçosa; Viçosa Brazil
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75
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Albani V, Celis-Morales C, O'Donovan CB, Walsh MC, Woolhead C, Forster H, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Gundersen TE, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Gibney MJ, Gibney ER, Mathers JC, Adamson AJ, Brennan L. Within-person reproducibility and sensitivity to dietary change of C15:0 and C17:0 levels in dried blood spots: Data from the European Food4Me Study. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201700142] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 04/27/2017] [Accepted: 05/09/2017] [Indexed: 12/11/2022]
Affiliation(s)
- Viviana Albani
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
| | - Carlos Celis-Morales
- Human Nutrition Research Centre; Institute of Cellular Medicine; Newcastle University; Newcastle upon Tyne UK
| | - Clare B. O'Donovan
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Marianne C. Walsh
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Clara Woolhead
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Hannah Forster
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Rosalind Fallaize
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Anna L. Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health; University of Reading; Reading UK
| | - Cyril F. M. Marsaux
- Department of Human Biology; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Centre; Maastricht The Netherlands
| | - Santiago Navas-Carretero
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III; Madrid Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences; Biochemistry Unit; Technische Universität München; Munich Germany
| | | | | | - George Moschonis
- Department of Nutrition and Dietetics; Harokopio University; Athens Greece
| | | | | | - Iwona Traczyk
- Department of Human Nutrition; Faculty of Health Science; Medical University of Warsaw; Poland
| | | | - Christian A. Drevon
- Department of Nutrition; Institute of Basic Medical Sciences; Faculty of Medicine; University of Oslo; Oslo Norway
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences; Biochemistry Unit; Technische Universität München; Munich Germany
| | - Yannis Manios
- Department of Nutrition and Dietetics; Harokopio University; Athens Greece
| | - J. Alfredo Martinez
- Department of Nutrition; Food Science and Physiology; University of Navarra; Pamplona Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III; Madrid Spain
- IMDEA Alimentación; Madrid Spain
| | - Wim H. M. Saris
- Department of Human Biology; NUTRIM School of Nutrition and Translational Research in Metabolism; Maastricht University Medical Centre; Maastricht The Netherlands
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health; University of Reading; Reading UK
| | - Michael J. Gibney
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Eileen R. Gibney
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - John C. Mathers
- Human Nutrition Research Centre; Institute of Cellular Medicine; Newcastle University; Newcastle upon Tyne UK
| | - Ashley J. Adamson
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
| | - Lorraine Brennan
- Human Nutrition Research Centre and Institute of Health and Society; Newcastle University; Newcastle upon Tyne UK
- UCD School of Agriculture and FoodScience; Institute of Food and Health; University College Dublin (UCD); Belfield Dublin Ireland
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76
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Ricardo F, Pimentel T, Maciel E, Moreira AS, Rosário Domingues M, Calado R. Fatty acid dynamics of the adductor muscle of live cockles ( Cerastoderma edule ) during their shelf-life and its relevance for traceability of geographic origin. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.01.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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77
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Salas-Salvadó J, Guasch-Ferré M, Díaz-López A, Babio N. Yogurt and Diabetes: Overview of Recent Observational Studies. J Nutr 2017; 147:1452S-1461S. [PMID: 28615384 DOI: 10.3945/jn.117.248229] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 02/23/2017] [Accepted: 03/20/2017] [Indexed: 11/14/2022] Open
Abstract
The effects of dairy consumption on the prevention of type 2 diabetes remain controversial and depend on the dairy subtype. Yogurt intake has received special attention because its association with health benefits is more consistent than that of other types of dairy products. In the present article, we review those observational studies that evaluated the association between yogurt consumption and type 2 diabetes. We also discuss the possible mechanisms involved in these associations. We found that 13 prospective studies evaluated the association between yogurt intake and type 2 diabetes, most of which showed an inverse association between the frequency of yogurt consumption and the risk of diabetes. In addition to the scientific evidence accumulated from individual prospective studies, several meta-analyses have shown that yogurt consumption has a potential role in diabetes prevention. The most recent analysis shows a 14% lower risk of type 2 diabetes when yogurt consumption was 80-125 g/d compared with no yogurt consumption. The intake of fermented dairy products, especially yogurt, has been inversely associated with variables of glucose metabolism. Yogurt may have probiotic effects that could modulate glucose metabolism. We conclude that yogurt consumption, in the context of a healthy dietary pattern, may reduce the risk of type 2 diabetes in healthy and older adults at high cardiovascular risk. Large-scale intervention studies and randomized clinical trials are warranted to determine if yogurt consumption has beneficial effects on insulin sensitivity and reduces the risk of type 2 diabetes.
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Affiliation(s)
- Jordi Salas-Salvadó
- Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Center, Universitat Rovira i Virgili, Reus, Spain;
- Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salut Carlos III, Madrid, Spain; and
| | - Marta Guasch-Ferré
- Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Center, Universitat Rovira i Virgili, Reus, Spain
- Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salut Carlos III, Madrid, Spain; and
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Andrés Díaz-López
- Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Center, Universitat Rovira i Virgili, Reus, Spain
- Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salut Carlos III, Madrid, Spain; and
| | - Nancy Babio
- Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Center, Universitat Rovira i Virgili, Reus, Spain
- Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salut Carlos III, Madrid, Spain; and
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78
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Aglago EK, Biessy C, Torres-Mejía G, Angeles-Llerenas A, Gunter MJ, Romieu I, Chajès V. Association between serum phospholipid fatty acid levels and adiposity in Mexican women. J Lipid Res 2017; 58:1462-1470. [PMID: 28465289 PMCID: PMC5496042 DOI: 10.1194/jlr.p073643] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 04/23/2017] [Indexed: 12/31/2022] Open
Abstract
Fatty acids (FAs) have been postulated to impact adiposity, but few epidemiological studies addressing this hypothesis have been conducted. This study investigated the association between serum phospholipid FAs (S-PLFAs) and indicators of obesity. BMI and waist-to-hip ratio (WHR) were collected from 372 healthy Mexican women included as controls in a case-control study. S-PLFA percentages were determined through gas chromatography. Desaturation indices, SCD-16, SCD-18, FA desaturase (FADS)1, and FADS2, biomarkers of endogenous metabolism, were proxied respectively as 16:1n-7/16:0, 18:1n-9/18:0, 20:4n-6/20:3n-6, and 22:6n-3/20:5n-3. Multiple linear regressions adjusted for relevant confounders and corrected for multiple testing were conducted to determine the association between S-PLFA, desaturation indices, and indicators of adiposity. SCD-16 (β = 0.034, P = 0.001, q = 0.014), palmitoleic acid (β = 0.031, P = 0.001, q = 0.014), and dihomo-γ-linolenic acid (β = 0.043, P = 0.000, q = 0.0002) were positively associated with BMI. Total n-6 PUFAs (β = 1.497, P = 0.047, q = 0.22) and the ratio of n-6/n-3 PUFAs (β = 0.034, P = 0.040, q = 0.19) were positively associated with WHR, while odd-chain FAs (pentadecanoic and heptadecanoic acid) showed negative associations with all the adiposity indicators. In conclusion, increased endogenous synthesis of palmitoleic acid and a high n-6/n-3 ratio are associated with increased adiposity, while odd-chain FAs are associated with decreased adiposity. Further studies are needed to determine the potential causality behind these associations.
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Affiliation(s)
- Elom K Aglago
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
| | - Carine Biessy
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Gabriela Torres-Mejía
- National Institute of Public Health, Center for Population Health Research, Cuernavaca Morelos, Mexico
| | - Angélica Angeles-Llerenas
- National Institute of Public Health, Center for Population Health Research, Cuernavaca Morelos, Mexico
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Isabelle Romieu
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Veronique Chajès
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France
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79
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Vranković L, Delaš I, Reljić S, Huber Đ, Maltar-Strmečki N, Klobučar K, Krivić G, Stojević Z, Aladrović J. The Lipid Composition of Subcutaneous Adipose Tissue of Brown Bears (Ursus arctos) in Croatia. Physiol Biochem Zool 2017; 90:399-406. [PMID: 28384418 DOI: 10.1086/690913] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The composition of adipose tissue in brown bears (Ursus arctos) is highly variable and depends on an individual's feeding habits. Fatty acid composition of subcutaneous adipose tissue (SAT) may provide insight into brown bear feeding habits, for which data are scarce. The aim of this study was to determine the lipid composition of SAT and variations in the composition of fatty substances with regard to gender and to assess SAT relative to season and body mass (BM) of brown bears in Croatia. Seventy-six tissue samples of brown bear SAT were analyzed in this study. We found that gender, season, and BM significantly affected the lipid composition of SAT. Both females and males had higher percentages of saturated fatty acids and monounsaturated fatty acids (MUFAs) in SAT in spring than in autumn, while the percentage of polyunsaturated fatty acids (PUFAs) was higher in autumn. The prevalence of MUFAs in SAT and the greater presence of PUFAs in autumn, together with the presence of odd-chain saturated fatty acids, indicate the importance of these fatty acids in brown bear physiology. We suggest that the lipid content of adipose tissue may provide valuable information on changes in brown bear condition in response to feeding habits and the effects of supplemental feeding.
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80
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Jenkins BJ, Seyssel K, Chiu S, Pan PH, Lin SY, Stanley E, Ament Z, West JA, Summerhill K, Griffin JL, Vetter W, Autio KJ, Hiltunen K, Hazebrouck S, Stepankova R, Chen CJ, Alligier M, Laville M, Moore M, Kraft G, Cherrington A, King S, Krauss RM, de Schryver E, Van Veldhoven PP, Ronis M, Koulman A. Odd Chain Fatty Acids; New Insights of the Relationship Between the Gut Microbiota, Dietary Intake, Biosynthesis and Glucose Intolerance. Sci Rep 2017; 7:44845. [PMID: 28332596 PMCID: PMC5362956 DOI: 10.1038/srep44845] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 02/14/2017] [Indexed: 02/03/2023] Open
Abstract
Recent findings have shown an inverse association between circulating C15:0/C17:0 fatty acids with disease risk, therefore, their origin needs to be determined to understanding their role in these pathologies. Through combinations of both animal and human intervention studies, we comprehensively investigated all possible contributions of these fatty acids from the gut-microbiota, the diet, and novel endogenous biosynthesis. Investigations included an intestinal germ-free study and a C15:0/C17:0 diet dose response study. Endogenous production was assessed through: a stearic acid infusion, phytol supplementation, and a Hacl1-/- mouse model. Two human dietary intervention studies were used to translate the results. Finally, a study comparing baseline C15:0/C17:0 with the prognosis of glucose intolerance. We found that circulating C15:0/C17:0 levels were not influenced by the gut-microbiota. The dose response study showed C15:0 had a linear response, however C17:0 was not directly correlated. The phytol supplementation only decreased C17:0. Stearic acid infusion only increased C17:0. Hacl1-/- only decreased C17:0. The glucose intolerance study showed only C17:0 correlated with prognosis. To summarise, circulating C15:0 and C17:0 are independently derived; C15:0 correlates directly with dietary intake, while C17:0 is substantially biosynthesized, therefore, they are not homologous in the aetiology of metabolic disease. Our findings emphasize the importance of the biosynthesis of C17:0 and recognizing its link with metabolic disease.
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Affiliation(s)
- Benjamin J. Jenkins
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - Kevin Seyssel
- Lyon University, INSERM U1060, CarMeN Laboratory and CENS, Claude Bernard University, CRNH Rhône-Alpes, Centre Hospitalier Lyon-Sud, 69310, Pierre-Bénite, France
| | - Sally Chiu
- Children’s Hospital Oakland Research Institute, 5700 Martin Luther King Jr. Way, Oakland, CA 94609, United States of America
| | - Pin-Ho Pan
- Department of Pediatrics, Tungs’ Taichung MetroHarbor Hospital, Taichung 435, Taiwan
| | - Shih-Yi Lin
- Division of Endocrinology and Metabolism/Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Taichung 407, Taiwan
| | - Elizabeth Stanley
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - Zsuzsanna Ament
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - James A. West
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - Keith Summerhill
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - Julian L. Griffin
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
| | - Walter Vetter
- University of Hohenheim, Institute of Food Chemistry, Garbenstrasse 28, D-70599 Stuttgart, Germany
| | - Kaija J. Autio
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, P.O. Box 5400, FI-90014, Finland
| | - Kalervo Hiltunen
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, P.O. Box 5400, FI-90014, Finland
| | - Stéphane Hazebrouck
- UMR CEA-INRA Service de Pharmacologie et d’Immunoanalyse, Laboratoire d’Immuno-Allergie Alimentaire, Université Paris-Saclay, F-91991 Gif-sur-Yvette, France
| | - Renata Stepankova
- Laboratory of Gnotobiology, Institute of Microbiology, Czech Academy of Science, Novy Hradek, 549 22, Prague, Czech Republic
| | - Chun-Jung Chen
- Department of Medical Research, Taichung Veterans General Hospital, No. 1650, Sec.4, Taiwan Boulevard, Taichung 407, Taiwan
| | - Maud Alligier
- Lyon University, INSERM U1060, CarMeN Laboratory and CENS, Claude Bernard University, CRNH Rhône-Alpes, Centre Hospitalier Lyon-Sud, 69310, Pierre-Bénite, France
| | - Martine Laville
- Lyon University, INSERM U1060, CarMeN Laboratory and CENS, Claude Bernard University, CRNH Rhône-Alpes, Centre Hospitalier Lyon-Sud, 69310, Pierre-Bénite, France
| | - Mary Moore
- 702 Light Hall, Dept. of Molecular Physiology & Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0615, United States of America
| | - Guillaume Kraft
- 702 Light Hall, Dept. of Molecular Physiology & Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0615, United States of America
| | - Alan Cherrington
- 702 Light Hall, Dept. of Molecular Physiology & Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0615, United States of America
| | - Sarah King
- Children’s Hospital Oakland Research Institute, 5700 Martin Luther King Jr. Way, Oakland, CA 94609, United States of America
| | - Ronald M. Krauss
- Children’s Hospital Oakland Research Institute, 5700 Martin Luther King Jr. Way, Oakland, CA 94609, United States of America
| | - Evelyn de Schryver
- Laboratory of Lipid Biochemistry and Protein Interactions (LIPIT), Campus Gasthuisberg – KU Leuven, Herestraat Box 601, B-3000 Leuven, Belgium
| | - Paul P. Van Veldhoven
- Laboratory of Lipid Biochemistry and Protein Interactions (LIPIT), Campus Gasthuisberg – KU Leuven, Herestraat Box 601, B-3000 Leuven, Belgium
| | - Martin Ronis
- College of Medicine, Department of Pharmacology & Experimental Therapeutics, Louisiana State University Health Sciences Centre 1901 Perdido Str., New Orleans, United States of America
| | - Albert Koulman
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL. Affiliated with the University of Cambridge, United Kingdom
- NIHR BRC Core Metabolomics and Lipidomics Laboratory, Level 4, Laboratory Block, Cambridge University Hospitals, University of Cambridge, Cambridge, UK
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81
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Mika A, Sledzinski T. Alterations of specific lipid groups in serum of obese humans: a review. Obes Rev 2017; 18:247-272. [PMID: 27899022 DOI: 10.1111/obr.12475] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/16/2016] [Accepted: 09/05/2016] [Indexed: 12/15/2022]
Abstract
Obesity is a major contributor to the dysfunction of liver, cardiac, pulmonary, endocrine and reproductive system, as well as a component of metabolic syndrome. Although development of obesity-related disorders is associated with lipid abnormalities, most previous studies dealing with the problem in question were limited to routinely determined parameters, such as serum concentrations of triacylglycerols, total cholesterol, low-density and high-density lipoprotein cholesterol. Many authors postulated to extend the scope of analysed lipid compounds and to study obesity-related alterations in other, previously non-examined groups of lipids. Comprehensive quantitative, structural and functional analysis of specific lipid groups may result in identification of new obesity-related alterations. The review summarizes available evidence of obesity-related alterations in various groups of lipids and their impact on health status of obese subjects. Further, the role of diet and endogenous lipid synthesis in the development of serum lipid alterations is discussed, along with potential application of various lipid compounds as risk markers for obesity-related comorbidities.
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Affiliation(s)
- A Mika
- Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Gdansk, Poland
| | - T Sledzinski
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Gdansk, Poland
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82
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Abstract
PURPOSE OF REVIEW Dairy is a major food group with potential impact on cardiometabolic health. Self-reported dairy intake has limitations that can partly be avoided by using biomarkers. This review aims to summarize the evidence of odd-chain saturated fatty acids (OCFAs), that is, pentadecanoic acid (C15 : 0) and heptadecanoic acid (17 : 0), as biomarkers of dairy fat intake. In addition, the associations of OCFA biomarkers with cardiometabolic disease will be overviewed. RECENT FINDINGS Adipose tissue 15 : 0 is the preferred biomarker but also circulating 15 : 0, and to a weaker extent 17 : 0, reflects both habitual and changes in dairy intake. Whereas results from studies assessing cardiovascular outcomes are inconsistent, OCFA biomarkers are overall associated with lower diabetes risk. Residual confounding should however be considered until interventional data and mechanisms are available. Although OCFA biomarkers mainly reflect dairy fat intake, recently proposed endogenous synthesis and metabolism do motivate further research. SUMMARY Taking into account the study population diet and limitations of OCFA biomarkers, both adipose and circulating levels of 15 : 0, in particular, are useful for estimating total dairy fat intake. OCFA biomarkers are overall not linked to cardiovascular disease risk, but a possible beneficial role of dairy foods in diabetes prevention warrant further study.
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Affiliation(s)
- Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
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83
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Lund-Blix NA, Rønningen KS, Bøås H, Tapia G, Andersen LF. Plasma phospholipid pentadecanoic acid, EPA, and DHA, and the frequency of dairy and fish product intake in young children. Food Nutr Res 2016; 60:31933. [PMID: 27534845 PMCID: PMC4989176 DOI: 10.3402/fnr.v60.31933] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 06/29/2016] [Accepted: 06/30/2016] [Indexed: 11/14/2022] Open
Abstract
Background There is a lack of studies comparing dietary assessment methods with the biomarkers of fatty acids in children. Objective The objective was to evaluate the suitability of a food frequency questionnaire (FFQ) to rank young children according to their intake of dairy and fish products by comparing food frequency estimates to the plasma phospholipid fatty acids pentadecanoic acid, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA). Design Cross-sectional data for the present study were derived from the prospective cohort ‘Environmental Triggers of Type 1 Diabetes Study’. Infants were recruited from the Norwegian general population during 2001–2007. One hundred and ten (age 3–10 years) children had sufficient volumes of plasma and FFQ filled in within 2 months from blood sampling and were included in this evaluation study. The quantitative determination of plasma phospholipid fatty acids was done by fatty acid methyl ester analysis. The association between the frequency of dairy and fish product intake and the plasma phospholipid fatty acids was assessed by a Spearman correlation analysis and by investigating whether participants were classified into the same quartiles of distribution. Results Significant correlations were found between pentadecanoic acid and the intake frequency of total dairy products (r=0.29), total fat dairy products (r=0.39), and cheese products (r=0.36). EPA and DHA were significantly correlated with the intake frequency of oily fish (r=0.26 and 0.37, respectively) and cod liver/fish oil supplements (r=0.47 for EPA and r=0.50 DHA). To a large extent, the FFQ was able to classify individuals into the same quartile as the relevant fatty acid biomarker. Conclusions The present study suggests that, when using the plasma phospholipid fatty acids pentadecanoic acid, EPA, and DHA as biomarkers, the FFQ used in young children showed a moderate capability to rank the intake frequency of dairy products with a high-fat content and cod liver/fish oil supplements.
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Affiliation(s)
- Nicolai A Lund-Blix
- Department of Pediatric Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.,Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway;
| | - Kjersti S Rønningen
- Department of Pediatric Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Håkon Bøås
- Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - German Tapia
- Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Lene F Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
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84
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Dietary fat overcomes the protective activity of thrombospondin-1 signaling in the Apc(Min/+) model of colon cancer. Oncogenesis 2016; 5:e230. [PMID: 27239962 PMCID: PMC4945754 DOI: 10.1038/oncsis.2016.37] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 04/14/2016] [Accepted: 04/16/2016] [Indexed: 12/17/2022] Open
Abstract
Thrombospondin 1 is a glycoprotein that regulates cellular phenotype through interactions with its cellular receptors and extracellular matrix-binding partners. Thrombospondin 1 locally regulates angiogenesis and inflammatory responses that contribute to colorectal carcinogenesis in ApcMin/+ mice. The ability of thrombospondin 1 to regulate responses of cells and tissues to a variety of stresses suggested that loss of thrombospondin 1 may also have broader systemic effects on metabolism to modulate carcinogenesis. ApcMin/+:Thbs1−/− mice exhibited decreased survival and higher tumor multiplicities in the small and large intestine relative to ApcMin/+ mice when fed a low (5%) fat western diet. However, the protective effect of endogenous thrombospondin 1 was lost when the mice were fed a western diet containing 21% fat. Biochemical profiles of liver tissue identified systemic metabolic changes accompanying the effects of thrombospondin 1 and dietary lipid intake on tumorigenesis. A high-fat western diet differentially regulated elements of amino acid, energy and lipid metabolism in ApcMin/+:Thbs1−/− mice relative to ApcMin/+:Thbs1+/+mice. Metabolic changes in ketone body and tricarboxylic acid cycle intermediates indicate functional interactions between Apc and thrombospondin 1 signaling that control mitochondrial function. The cumulative diet-dependent differential changes observed in ApcMin/+:Thbs1−/− versus ApcMin/+ mice include altered amino acid and lipid metabolism, mitochondrial dysfunction, eicosanoids and ketone body formation. This metabolic profile suggests that the protective role of thrombospondin 1 to decrease adenoma formation in ApcMin/+ mice results in part from improved mitochondrial function.
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85
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Biomarkers for nutrient intake with focus on alternative sampling techniques. GENES AND NUTRITION 2016; 11:12. [PMID: 27551313 PMCID: PMC4968438 DOI: 10.1186/s12263-016-0527-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 03/31/2016] [Indexed: 01/06/2023]
Abstract
Biomarkers of nutrient intake or nutrient status are important objective measures of foods/nutrients as one of the most important environmental factors people are exposed to. It is very difficult to obtain accurate data on individual food intake, and there is a large variation of nutrient composition of foods consumed in a population. Thus, it is difficult to obtain precise measures of exposure to different nutrients and thereby be able to understand the relationship between diet, health, and disease. This is the background for investing considerable resources in studying biomarkers of nutrients believed to be important in our foods. Modern technology with high sensitivity and specificity concerning many nutrient biomarkers has allowed an interesting development with analyses of very small amounts of blood or tissue material. In combination with non-professional collection of blood by finger-pricking and collection on filters or sticks, this may make collection of samples and analyses of biomarkers much more available for scientists as well as health professionals and even lay people in particular in relation to the marked trend of self-monitoring of body functions linked to mobile phone technology. Assuming standard operating procedures are used for collection, drying, transport, extraction, and analysis of samples, it turns out that many analytes of nutritional interest can be measured like metabolites, drugs, lipids, vitamins, minerals, and many types of peptides and proteins. The advantage of this alternative sampling technology is that non-professionals can collect, dry, and mail the samples; the samples can often be stored under room temperature in a dry atmosphere, requiring small amounts of blood. Another promising area is the potential relation between the microbiome and biomarkers that may be measured in feces as well as in blood.
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Yakoob MY, Shi P, Willett WC, Rexrode KM, Campos H, Orav EJ, Hu FB, Mozaffarian D. Circulating Biomarkers of Dairy Fat and Risk of Incident Diabetes Mellitus Among Men and Women in the United States in Two Large Prospective Cohorts. Circulation 2016; 133:1645-54. [PMID: 27006479 DOI: 10.1161/circulationaha.115.018410] [Citation(s) in RCA: 101] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 03/09/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND In prospective studies, the relationship of self-reported consumption of dairy foods with risk of diabetes mellitus is inconsistent. Few studies have assessed dairy fat, using circulating biomarkers, and incident diabetes mellitus. We tested the hypothesis that circulating fatty acid biomarkers of dairy fat, 15:0, 17:0, and t-16:1n-7, are associated with lower incident diabetes mellitus. METHODS AND RESULTS Among 3333 adults aged 30 to 75 years and free of prevalent diabetes mellitus at baseline, total plasma and erythrocyte fatty acids were measured in blood collected in 1989 to 1990 (Nurses' Health Study) and 1993 to 1994 (Health Professionals Follow-Up Study). Incident diabetes mellitus through 2010 was confirmed by a validated supplementary questionnaire based on symptoms, diagnostic tests, and medications. Risk was assessed by using Cox proportional hazards, with cohort findings combined by meta-analysis. During mean±standard deviation follow-up of 15.2±5.6 years, 277 new cases of diabetes mellitus were diagnosed. In pooled multivariate analyses adjusting for demographics, metabolic risk factors, lifestyle, diet, and other circulating fatty acids, individuals with higher plasma 15:0 had a 44% lower risk of diabetes mellitus (quartiles 4 versus 1, hazard ratio, 0.56; 95% confidence interval, 0.37-0.86; P-trend=0.01); higher plasma 17:0, 43% lower risk (hazard ratio, 0.57; 95% confidence interval, 0.39-0.83; P-trend=0.01); and higher t-16:1n-7, 52% lower risk (hazard ratio, 0.48; 95% confidence interval, 0.33-0.70; P-trend <0.001). Findings were similar for erythrocyte 15:0, 17:0, and t-16:1n-7, although with broader confidence intervals that only achieved statistical significance for 17:0. CONCLUSIONS In 2 prospective cohorts, higher plasma dairy fatty acid concentrations were associated with lower incident diabetes mellitus. Results were similar for erythrocyte 17:0. Our findings highlight the need to better understand the potential health effects of dairy fat, and the dietary and metabolic determinants of these fatty acids.
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Affiliation(s)
- Mohammad Y Yakoob
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Peilin Shi
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Walter C Willett
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Kathryn M Rexrode
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Hannia Campos
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - E John Orav
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Frank B Hu
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.)
| | - Dariush Mozaffarian
- From Department of Epidemiology, Harvard School of Public Health, Boston, MA (M.Y.Y., D.M.); Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (P.S., D.M.); Department of Nutrition, Harvard School of Public Health, Boston, MA (W.C.W., H.C., F.B.H.); Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (K.M.R.); and Division of General Internal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.J.O.).
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87
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Fraser GE, Jaceldo-Siegl K, Henning SM, Fan J, Knutsen SF, Haddad EH, Sabaté J, Beeson WL, Bennett H. Biomarkers of Dietary Intake Are Correlated with Corresponding Measures from Repeated Dietary Recalls and Food-Frequency Questionnaires in the Adventist Health Study-2. J Nutr 2016; 146:586-94. [PMID: 26843587 PMCID: PMC4763486 DOI: 10.3945/jn.115.225508] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 12/29/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Accurate assessment of diet in study populations is still a challenge. Some statistical strategies that use biomarkers of dietary intake attempt to compensate for the biasing effects of reporting errors. OBJECTIVE The objective was to correlate biomarkers of dietary intake with 2 direct measures of dietary intake. METHODS Subjects provided repeated 24-h dietary recalls and 2 food-frequency questionnaires (FFQs) separated by ∼3 y. Correlations between biomarkers and reported dietary intakes as measured by the recalls and FFQs were de-attenuated for within-person variability. The Adventist Health Study-2 (AHS-2) has a large database of biomarkers of dietary intake (blood, urine, adipose tissue) from a calibration study (909 analytic subjects) representing the cohort. Participants were black and non-black Adventists in the United States and Canada. RESULTS Dietary items with higher-valued de-attenuated correlations (≥0.50) between biomarkers and recalls included some fatty acids (FAs), the non-fish meats, fruit (non-black subjects), some carotenoids, vitamin B-12 (non-black subjects), and vitamin E. Moderately valued correlations (0.30-0.49) were found for very long chain ω-3 (n-3) FAs, some carotenoids, folate, isoflavones, cruciferous vegetables, fruit (black subjects), and calcium. The highest correlation values in non-black and black subjects were 0.69 (urinary 1-methyl-histidine and meat consumption) and 0.72 (adipose and dietary 18:2 ω-6), respectively. Correlations comparing biomarkers with recalls were generally similar for black and non-black subjects, but correlations between biomarkers and the FFQ were slightly lower than corresponding recall correlations. Correlations between biomarkers and a single FFQ estimate (the usual cohort situation) were generally much lower. CONCLUSIONS Many biomarkers that have relatively high-valued correlations with dietary intake were identified and were usually of similar value in black and non-black subjects. These may be used to correct effects of dietary measurement errors in the AHS-2 cohort, and in some cases they also provide evidence supporting the validity of the dietary data.
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Affiliation(s)
- Gary E Fraser
- Adventist Health Study and,Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
| | - Karen Jaceldo-Siegl
- Adventist Health Study and Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
| | - Susanne M Henning
- UCLA Center for Human Nutrition, School of Medicine, Los Angeles, CA
| | | | - Synnove F Knutsen
- Adventist Health Study and,Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
| | - Ella H Haddad
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
| | - Joan Sabaté
- Adventist Health Study and,Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
| | - W Lawrence Beeson
- Adventist Health Study and,Center for Nutrition, Healthy Lifestyle and Disease Prevention, Loma Linda University, Loma Linda, CA; and
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88
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Lipids and bariatric procedures Part 2 of 2: scientific statement from the American Society for Metabolic and Bariatric Surgery (ASMBS), the National Lipid Association (NLA), and Obesity Medicine Association (OMA) 1. Surg Obes Relat Dis 2016; 12:468-495. [DOI: 10.1016/j.soard.2016.01.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 01/08/2016] [Indexed: 12/17/2022]
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89
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Albani V, Celis-Morales C, Marsaux CFM, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Gundersen TE, Kaland SE, Manios Y, Traczyk I, Drevon CA, Gibney ER, Walsh MC, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Gibney MJ, Adamson AJ, Mathers JC, Brennan L. Exploring the association of dairy product intake with the fatty acids C15:0 and C17:0 measured from dried blood spots in a multipopulation cohort: Findings from the Food4Me study. Mol Nutr Food Res 2016; 60:834-45. [PMID: 26678873 DOI: 10.1002/mnfr.201500483] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 11/18/2015] [Accepted: 11/22/2015] [Indexed: 11/08/2022]
Abstract
SCOPE The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake. METHODS AND RESULTS The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products. CONCLUSION C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies.
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Affiliation(s)
- Viviana Albani
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Carlos Celis-Morales
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre + (MUMC+), Maastricht, The Netherlands
| | - Hannah Forster
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Clare B O'Donovan
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Clara Woolhead
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Germany
| | | | | | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | | | | | | | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Eileen R Gibney
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Marianne C Walsh
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (SN-C & JAM), Spain
| | - Wim H M Saris
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Germany
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK
| | - Michael J Gibney
- Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Ashley J Adamson
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - John C Mathers
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Lorraine Brennan
- Human Nutrition Research Centre and Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK.,Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
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90
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Laguzzi F, Alsharari Z, Risérus U, Vikström M, Sjögren P, Gigante B, Hellénius ML, Cederholm T, Bottai M, de Faire U, Leander K. Cross-sectional relationships between dietary fat intake and serum cholesterol fatty acids in a Swedish cohort of 60-year-old men and women. J Hum Nutr Diet 2015; 29:325-37. [PMID: 26264885 DOI: 10.1111/jhn.12336] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
BACKGROUND The present study aimed to describe the relationship between self-reported dietary intake and serum cholesterol fatty acids (FAs) in a Swedish population of 60-year-old men and women. METHODS Cross-sectional data collected in 1997-1998 from 4232 individuals residing in Stockholm County were used. Five diet scores were created to reflect the intake of saturated fats in general, as well as fats from dairy, fish, processed meat and vegetable oils and margarines. Gas chromatography was used to assess 13 FAs in serum cholesterol esters. The association between each diet score and specific FAs was assessed by percentile differences (PD) with 95% confidence intervals (CI) at the 10th, 25th, 50th, 75th and 90th percentile of each FA across levels of diet scores using quantile regression. RESULTS Fish intake was associated with high proportions of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). For each point increase in fish score, the 50th PD in EPA and DHA was 32.78% (95% CI = 29.22% to 36.35%) and 10.63% (95% CI = 9.52% to 11.74%), respectively. Vegetable fat intake was associated with a high proportion of linoleic acid and total polyunsaturated fatty acids (PUFA) and a low proportion of total saturated fatty acids (SFA). The intake of saturated fats in general and dairy fat was slightly associated with specific SFA, although the intake of fat from meat was not. CONCLUSIONS In the present study population, using a rather simple dietary assessment method, the intake of fish and vegetable fats was clearly associated with serum PUFA, whereas foods rich in saturated fats in general showed a weak relationship with serum SFA. Our results may contribute to increased knowledge about underlying biology in diet-cardiovascular disease associations.
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Affiliation(s)
- F Laguzzi
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Z Alsharari
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - U Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - M Vikström
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - P Sjögren
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - B Gigante
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - M-L Hellénius
- Cardiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - T Cederholm
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - M Bottai
- Unit of Biostatistics, Institutet of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - U de Faire
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Cardiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - K Leander
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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91
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Abstract
AbstractAdipose tissue (AT) fatty acid (FA) composition partly reflects habitual dietary intake. Circulating NEFA are mobilised from AT and might act as a minimally invasive surrogate marker of AT FA profile. Agreement between twenty-eight FA in AT and plasma NEFA was assessed using concordance coefficients in 204 male and female participants in a 12-month intervention using supplements to increase the intake of EPA and DHA. Concordance coefficients generally showed very poor agreement between AT FA and plasma NEFA at baseline SFA: 0·07; MUFA: 0·03; n-6 PUFA: 0·28; n-3 PUFA: 0·01). Participants were randomly divided into training (70 %) and validation (30 %) data sets, and models to predict AT and dietary FA were fitted using data from the training set, and their predictive ability was assessed using data from the validation set. AT n-6 PUFA and SFA were predicted from plasma NEFA with moderate accuracy (mean absolute percentage error n-6 PUFA: 11 % and SFA: 8 %), but predicted values were unable to distinguish between low, medium and high FA values, with only 25 % of n-6 PUFA and 33 % of SFA predicted values correctly assigned to the appropriate tertile group. Despite an association between AT and plasma NEFA EPA (P=0·001) and DHA (P=0·01) at baseline, there was no association after the intervention. To conclude, plasma NEFA are not a suitable surrogate for AT FA.
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92
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Metabolomics to Explore Impact of Dairy Intake. Nutrients 2015; 7:4875-96. [PMID: 26091233 PMCID: PMC4488821 DOI: 10.3390/nu7064875] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 05/25/2015] [Accepted: 06/04/2015] [Indexed: 02/07/2023] Open
Abstract
Dairy products are an important component in the Western diet and represent a valuable source of nutrients for humans. However, a reliable dairy intake assessment in nutrition research is crucial to correctly elucidate the link between dairy intake and human health. Metabolomics is considered a potential tool for assessment of dietary intake instead of traditional methods, such as food frequency questionnaires, food records, and 24-h recalls. Metabolomics has been successfully applied to discriminate between consumption of different dairy products under different experimental conditions. Moreover, potential metabolites related to dairy intake were identified, although these metabolites need to be further validated in other intervention studies before they can be used as valid biomarkers of dairy consumption. Therefore, this review provides an overview of metabolomics for assessment of dairy intake in order to better clarify the role of dairy products in human nutrition and health.
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93
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Affiliation(s)
- Maria Lankinen
- From the Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland (ML; e-mail: )
| | - Ursula Schwab
- From the Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland (ML; e-mail: )
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94
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Ratnayake WMN. Concerns about the use of 15:0, 17:0, and trans-16:1n-7 as biomarkers of dairy fat intake in recent observational studies that suggest beneficial effects of dairy food on incidence of diabetes and stroke. Am J Clin Nutr 2015; 101:1102-3. [PMID: 25934871 PMCID: PMC4409693 DOI: 10.3945/ajcn.114.105379] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- W M Nimal Ratnayake
- From the Nutrition Research Division, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada (e-mail: )
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95
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Venäläinen T, Schwab U, Ågren J, de Mello V, Lindi V, Eloranta AM, Kiiskinen S, Laaksonen D, Lakka TA. Cross-sectional associations of food consumption with plasma fatty acid composition and estimated desaturase activities in Finnish children. Lipids 2015; 49:467-79. [PMID: 24659110 DOI: 10.1007/s11745-014-3894-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Accepted: 03/06/2014] [Indexed: 10/25/2022]
Abstract
Plasma fatty acid (FA) composition is known to be an indicator of dietary fat quality, but the associations of other dietary factors with plasma FA composition remain unknown in children. We investigated the cross-sectional associations of food consumption with the proportions of FA and estimated desaturase activities in plasma cholesteryl esters (CE) and phospholipids (PL) among children. The subjects were a population sample of 423 children aged 6–8 years examined at baseline of The Physical Activity and Nutrition in Children (PANIC) Study. We assessed food consumption by food records and plasma FA composition by gas chromatography. We used linear regression models adjusted for age, sex, physical activity and total energy intake to analyze the associations. A higher consumption of vegetable oil-based margarine (fat 60–80 %) was associated with a higher proportion of linoleic and α-linolenic acids in plasma CE and PL. A higher consumption of high-fiber grain products was related to a lower proportion of oleic acid in CE and PL. The consumption of candy was directly associated with the proportion of palmitoleic and oleic acid in plasma CE. The consumption of vegetable oil-based margarine was inversely associated with estimated stearoyl-CoA-desaturase activity in plasma CE and PL and the consumption of candy was directly related to it in plasma CE. The results of our study suggest that plasma FA composition is not only a biomarker for dietary fat quality but also reflects the consumption of high-fiber grain products and foods high in sugar among children.
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96
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Kataria Y, Wright M, Deaton RJ, Rueter EE, Rybicki BA, Moser AB, Ananthanrayanan V, Gann PH. Dietary influences on tissue concentrations of phytanic acid and AMACR expression in the benign human prostate. Prostate 2015; 75:200-10. [PMID: 25307752 PMCID: PMC4778716 DOI: 10.1002/pros.22905] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 08/26/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND Alpha-methylacyl-CoA racemase (AMACR) is an enzyme involved in fatty acid metabolism that is markedly over-expressed in virtually all prostate cancers (PCa), relative to benign tissue. One of AMACR's primary substrates, phytanic acid, is derived predominately from red meat and dairy product consumption. Epidemiological evidence suggests links between dairy/red meat intake, as well as phytanic acid levels, and elevated PCa risk. This study investigates the relationships among dietary intake, serum and tissue concentrations of phytanic acid, and AMACR expression (mRNA and protein) in the histologically benign human prostate. METHODS Men undergoing radical prostatectomy for the treatment of localized disease provided a food frequency questionnaire (n = 68), fasting blood (n = 35), benign fresh frozen prostate tissue (n = 26), and formalin-fixed paraffin-embedded (FFPE) sections (n = 67). Serum and tissue phytanic acid concentrations were obtained by gas chromatography-mass spectrometry. We extracted RNA from epithelial cells using laser capture microdissection and quantified mRNA expression of AMACR and other genes involved in the peroxisomal phytanic acid metabolism pathway via qRT-PCR. Immunohistochemistry for AMACR was performed on FFPE sections and subsequently quantified via digital image analysis. Associations between diet, serum, and tissue phytanic acid levels, as well as AMACR and other gene expression levels were assessed by partial Spearman correlation coefficients. RESULTS High-fat dairy intake was the strongest predictor of circulating phytanic acid concentrations (r = 0.35, P = 0.04). Tissue phytanic acid concentrations were not associated with any dietary sources and were only weakly correlated with serum levels (r = 0.29, P = 0.15). AMACR gene expression was not associated with serum phytanic acid (r = 0.13, P = 0.47), prostatic phytanic acid concentrations (r = 0.03, P = 0.88), or AMACR protein expression (r = -0.16, P = 0.20). CONCLUSIONS Our data underscore the complexity of the relationship between AMACR and its substrates and do not support the unifying hypothesis that excess levels of dietary phytanic acid are responsible for both the overexpression of AMACR in prostate cancer and the potential association between PCa risk and intake of dairy foods and red meat.
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Affiliation(s)
- Yachana Kataria
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois
| | | | - Ryan J. Deaton
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois
| | - Erika Enk Rueter
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois
| | - Benjamin A. Rybicki
- Department of Public Health Sciences, Henry Ford Health Systems, Detroit, Michigan
| | - Ann B. Moser
- Peroxisomal Diseases Lab, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, Maryland
| | | | - Peter H. Gann
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois
- Correspondence to: Peter H. Gann, MD, ScD, Department of Pathology (MC 847), College of Medicine, 840 S. Wood Street, Chicago, IL 60612.
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Jenkins B, West JA, Koulman A. A review of odd-chain fatty acid metabolism and the role of pentadecanoic Acid (c15:0) and heptadecanoic Acid (c17:0) in health and disease. Molecules 2015; 20:2425-44. [PMID: 25647578 PMCID: PMC6272531 DOI: 10.3390/molecules20022425] [Citation(s) in RCA: 311] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 01/07/2015] [Accepted: 01/23/2015] [Indexed: 12/27/2022] Open
Abstract
The role of C17:0 and C15:0 in human health has recently been reinforced following a number of important biological and nutritional observations. Historically, odd chain saturated fatty acids (OCS-FAs) were used as internal standards in GC-MS methods of total fatty acids and LC-MS methods of intact lipids, as it was thought their concentrations were insignificant in humans. However, it has been thought that increased consumption of dairy products has an association with an increase in blood plasma OCS-FAs. However, there is currently no direct evidence but rather a casual association through epidemiology studies. Furthermore, a number of studies on cardiometabolic diseases have shown that plasma concentrations of OCS-FAs are associated with lower disease risk, although the mechanism responsible for this is debated. One possible mechanism for the endogenous production of OCS-FAs is α-oxidation, involving the activation, then hydroxylation of the α-carbon, followed by the removal of the terminal carboxyl group. Differentiation human adipocytes showed a distinct increase in the concentration of OCS-FAs, which was possibly caused through α-oxidation. Further evidence for an endogenous pathway, is in human plasma, where the ratio of C15:0 to C17:0 is approximately 1:2 which is contradictory to the expected levels of C15:0 to C17:0 roughly 2:1 as detected in dairy fat. We review the literature on the dietary consumption of OCS-FAs and their potential endogenous metabolism.
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Affiliation(s)
- Benjamin Jenkins
- MRC HNR, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
| | - James A West
- MRC HNR, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
| | - Albert Koulman
- MRC HNR, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK.
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98
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Recommended dairy product intake modulates circulating fatty acid profile in healthy adults: a multi-centre cross-over study. Br J Nutr 2015; 113:435-44. [PMID: 25609231 DOI: 10.1017/s0007114514003894] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Dairy products are rich sources of an array of fatty acids (FA) that have been shown individually and in certain clusters to exert varying effects on cardiovascular health, for which the circulating lipid profile is a powerful biomarker. Whether the profile of these FA is reflected in blood upon short terms of intake, possibly contributing to the lipid-related health impacts of dairy products, remains to be fully established. The objectives of the present study were to assess a recommended dairy product consumption in relation to circulating FA and lipid profiles, and to evaluate certain FA in dairy fat as potential biomarkers of intake. In a free-living, multi-centre, cross-over design, 124 healthy individuals consumed 3 servings/d of commercial dairy (DAIRY; 1% fat milk, 1·5% fat yogurt and 34% fat cheese) or energy-equivalent control (CONTROL; fruit and vegetable juice, cashews and a cookie) products for 4 weeks each, separated by a 4-week washout period. Plasma FA and serum lipid profiles were assessed by standard methods at the end of each dietary phase. After 4 weeks of intake, plasma levels of FA pentadecanoic acid (15 : 0) and heptadecanoic acid (17 : 0) were higher (0·26 v. 0·22% and 0·42 v. 0·39% of the total identified FA, respectively) after the DAIRY phase than after the CONTROL phase (P< 0·0001). This was accompanied by a small but significant increase in serum LDL-cholesterol levels after the DAIRY phase compared with the CONTROL phase (+0·08 mmol/l; P= 0·04). In conclusion, intake of 3 servings/d of conventional dairy products may modify certain circulating FA and lipid profiles within 4 weeks, where 15 : 0 and 17 : 0 may be potential short-term biomarkers of intake.
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99
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Santaren ID, Watkins SM, Liese AD, Wagenknecht LE, Rewers MJ, Haffner SM, Lorenzo C, Hanley AJ. Serum pentadecanoic acid (15:0), a short-term marker of dairy food intake, is inversely associated with incident type 2 diabetes and its underlying disorders. Am J Clin Nutr 2014; 100:1532-40. [PMID: 25411288 PMCID: PMC4232018 DOI: 10.3945/ajcn.114.092544] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Growing evidence suggests that dairy consumption is associated with lower type 2 diabetes risk. However, observational studies have reported inconsistent results, and few have examined dairy's association with the underlying disorders of insulin resistance and β-cell dysfunction. OBJECTIVE We investigated the association of the dairy fatty acid biomarkers pentadecanoic acid (15:0) and trans-palmitoleic acid (trans 16:1n-7) with type 2 diabetes traits by evaluating 1) prospective associations with incident diabetes after 5 y of follow-up and 2) cross-sectional associations with directly measured insulin resistance and β-cell dysfunction. DESIGN The study analyzed 659 adults without diabetes at baseline from the triethnic multicenter Insulin Resistance Atherosclerosis Study (IRAS). Diabetes status was assessed by using oral-glucose-tolerance tests. Frequently sampled intravenous-glucose-tolerance tests measured insulin sensitivity (SI) and β-cell function [disposition index (DI)]. Serum fatty acids were quantified by using gas chromatography. Logistic and linear regression models were adjusted for demographic, lifestyle, and dietary variables. RESULTS Serum 15:0 was a significant biomarker for total dairy intake in the IRAS cohort. It was associated with a decreased incident diabetes risk (OR: 0.73, P = 0.02) and was positively associated with log SI (β: 0.84, P = 0.03) and log DI (β: 2.21, P = 0.02) in fully adjusted models. trans 16:1n-7 was a marker of total partially hydrogenated dietary fat intake and was not associated with outcomes in fully adjusted models. CONCLUSIONS Serum 15:0, a marker of short-term intake of this fatty acid, was inversely associated with diabetes risk in this multiethnic cohort. This study may contribute to future recommendations regarding the benefits of dairy products on type 2 diabetes risk.
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Affiliation(s)
- Ingrid D Santaren
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Steven M Watkins
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Angela D Liese
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Lynne E Wagenknecht
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Marian J Rewers
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Steven M Haffner
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Carlos Lorenzo
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
| | - Anthony J Hanley
- From the Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (IDS and AJH); Lipomics, a Division of Metabolon Inc., West Sacramento, CA (SMW); the Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC (ADL); the Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (LEW); Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO (MJR); the Division of Clinical Epidemiology, University of Texas Health Sciences Center, San Antonio, TX (SMH and CL); the Department of Medicine and Dalla Lana School of Public Health, University of Toronto, Toronto, Canada (AJH); and Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada (AJH)
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100
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Yakoob MY, Shi P, Hu FB, Campos H, Rexrode KM, Orav EJ, Willett WC, Mozaffarian D. Circulating biomarkers of dairy fat and risk of incident stroke in U.S. men and women in 2 large prospective cohorts. Am J Clin Nutr 2014; 100:1437-47. [PMID: 25411278 PMCID: PMC4232012 DOI: 10.3945/ajcn.114.083097] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Previous observational studies of self-reported dairy product consumption and stroke risk have reported mixed findings. Few studies have used circulating biomarkers that provide objective measures of dairy fat intake. OBJECTIVES We tested the hypothesis that the circulating biomarkers of dairy fat, pentadecanoic acid (15:0), heptadecanoic acid (17:0), and trans palmitoleate (trans 16:1n-7), were associated with lower incidence of stroke, especially ischemic stroke. Secondarily, we evaluated 14:0, which is obtained from dairy products and beef, and also endogenously synthesized. DESIGN In participants from 2 large US cohorts (the Health Professionals Follow-Up Study: 51,529 men; the Nurses' Health Study: 121,700 women) with stored blood samples in 1993-1994 (n = 18,225) and 1989-1990 (n = 32,826), respectively, we prospectively identified 594 incident stroke cases (median follow-up: 8.3 y) and matched them 1:1 to risk-set-sampled control subjects by age, sex, race, and smoking. Total plasma and red blood cell (RBC) fatty acids were measured by using gas-liquid chromatography. Covariates were assessed by using validated questionnaires. Stroke events and subtypes were adjudicated by using medical records or other supporting documentation. We used conditional logistic regression to estimate associations of fatty acids with incident stroke, and cohort-specific findings were combined by inverse-variance weights. RESULTS After adjustment for demographic characteristics, lifestyle, cardiovascular disease risk factors, diet, and other circulating fatty acids, no significant associations with total stroke were seen for plasma 15:0 (pooled HR for highest compared with lowest quartiles: 0.85; 95% CI: 0.54, 1.33), 17:0 (0.99; 0.67, 1.49), trans 16:1 n-7 (0.89; 0.55, 1.45), or 14:0 (1.05; 0.62, 1.78). Results were similar for ischemic and hemorrhagic stroke subtypes, for RBC fatty acids, and in several different sensitivity analyses. CONCLUSION In 2 large prospective cohorts, circulating biomarkers of dairy fat were not significantly associated with stroke.
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Affiliation(s)
- Mohammad Y Yakoob
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Peilin Shi
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Frank B Hu
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Hannia Campos
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Kathryn M Rexrode
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - E John Orav
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Walter C Willett
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
| | - Dariush Mozaffarian
- From the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM)
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