1
|
Razquin C, Ruiz-Canela M, Wernitz A, Toledo E, Corella D, Alonso-Gómez Á, Fitó M, Gómez-Gracia E, Estruch R, Fiol M, Lapetra J, Serra-Majem L, Ros E, Arós F, Salas-Salvadó J, Schulze MB, Martinez-Gonzalez MA. Effects of Supplemented Mediterranean Diets on Plasma-Phospholipid Fatty Acid Profiles and Risk of Cardiovascular Disease after 1 Year of Intervention in the PREDIMED Trial. Clin Chem 2023; 69:283-294. [PMID: 36683466 DOI: 10.1093/clinchem/hvac221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/09/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Plasma fatty acids (FAs) have been associated with cardiovascular disease (CVD) risk. Diet and endogenous metabolism influence the FA profile of the plasma phospholipid (PL) fraction. In the PREDIMED trial, we examined 1-year changes in the FA profile of plasma PL according to a nutritional intervention with Mediterranean diets, either supplemented with extra-virgin olive oil (MedDiet + EVOO) or mixed nuts (MedDiet + nuts), in a high cardiovascular risk population. We also analyzed if 1-year changes in PL FAs were associated with subsequent cardiovascular risk. METHODS We included 779 participants in our case-cohort study: 185 incident cases and 594 participants in the subcohort (including 31 overlapping cases). The end point was the incidence of CVD. We measured the FAs of plasma PL at baseline and after 1 year of intervention. RESULTS MedDiet + EVOO increased C17:0 and C20:3n9 in linear regression models [β coefficientperSD : 0.215 (95% CI, 0.032-0.399) and 0.271 (0.107-0.434), respectively] and decreased 16:1n7 and C22:4n6 [βperSD: -0.239 (95% CI, -0.416 to -0.061) and -0.287 (95% CI, -0.460 to -0.113), respectively] vs the control group. MedDiet + nuts increased C18:3n3 [βperSD: 0.382 (95% CI, 0.225 - 0.539)], C18:2n6 [βper SD: 0.250 (95% CI, 0.073 - 0.428)], C18:0 [βperSD: 0.268 (95% CI, 0.085-0.452)], and C22:0 [βper SD: 0.216 (95% CI, 0.031-0.402)]; and decreased the sum of six n6 FAs [βper SD: -0.147 (95% CI, -0.268 to -0.027)] vs the control group. The 1-year increase in C18:2n6 was inversely associated with the subsequent CVD risk (HRperSD: 0.64 (95% CI, 0.44-0.92)). CONCLUSIONS MedDiet interventions changed n6 FAs and C16:1n7c; other changes were specific for each group: MedDiet + EVOO increased C17:0 and C20:3n9, and MedDiet + Nuts C18:3n3, C18:2n6, C18:0, and C22:0 FAs.
Collapse
Affiliation(s)
- Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Estefania Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, Universidad de Valencia, Valencia, Spain
| | - Ángel Alonso-Gómez
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Biomedical Research Institute of Málaga, University of Málaga, Málaga, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques Augist Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine-Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquimica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Unit of Cardiovascular Risk and Nutrition, German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Miguel A Martinez-Gonzalez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| |
Collapse
|
2
|
Kochlik B, Franz K, Henning T, Weber D, Wernitz A, Herpich C, Jannasch F, Aykaç V, Müller-Werdan U, Schulze MB, Grune T, Norman K. Frailty is characterized by biomarker patterns reflecting inflammation or muscle catabolism in multi-morbid patients. J Cachexia Sarcopenia Muscle 2023; 14:157-166. [PMID: 36377255 PMCID: PMC9891921 DOI: 10.1002/jcsm.13118] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 09/02/2022] [Accepted: 10/10/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Frailty development is partly dependent on multiple factors like low levels of nutrients and high levels of oxidative stress (OS) and inflammation potentially leading to a muscle-catabolic state. Measures of specific biomarker patterns including nutrients, OS and inflammatory biomarkers as well as muscle related biomarkers like 3-methylhistidine (3MH) may improve evaluation of mechanisms and the complex networks leading to frailty. METHODS In 220 multi-morbid patients (≥ 60 years), classified as non-frail (n = 104) and frail (n = 116) according to Fried's frailty criteria, we measured serum concentrations of fat-soluble micronutrients, amino acids (AA), OS, interleukins (IL) 6 and 10, 3MH (biomarker for muscle protein turnover) and serum spectra of fatty acids (FA). We evaluated biomarker patterns by principal component analysis (PCA) and their cross-sectional associations with frailty by multivariate logistic regression analysis. RESULTS Two biomarker patterns [principal components (PC)] were identified by PCA. PC1 was characterized by high positive factor loadings (FL) of carotenoids, anti-inflammatory FA and vitamin D3 together with high negative FL of pro-inflammatory FA, IL6 and IL6/IL10, reflecting an inflammation-related pattern. PC2 was characterized by high positive FL of AA together with high negative FL of 3MH-based biomarkers, reflecting a muscle-related pattern. Frail patients had significantly lower factor scores than non-frail patients for both PC1 [median: -0.27 (interquartile range: 1.15) vs. 0.27 (1.23); P = 0.001] and PC2 [median: -0.15 (interquartile range: 1.13) vs. 0.21 (1.38); P = 0.002]. Patients with higher PC1 or PC2 factor scores were less likely to be frail [odds ratio (OR): 0.62, 95% CI: 0.46-0.83, P = 0.001 for PC1; OR: 0.64, 95% CI: 0.48-0.86, P = 0.003 for PC2] compared with patients with lower PC1 or PC2 factor scores. This indicates that increasing levels of anti-inflammatory biomarkers and increasing levels of muscle-anabolic biomarkers are associated with a reduced likelihood (38% and 36%, respectively) for frailty. Significant associations remained after adjusting the regression models for potential confounders. CONCLUSIONS We conclude that two specific patterns reflecting either inflammation-related or muscle-related biomarkers are both significantly associated with frailty among multi-morbid patients and that these specific biomarker patterns are more informative than single biomarker analyses considering frailty identification.
Collapse
Affiliation(s)
- Bastian Kochlik
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany.,NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Kristina Franz
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thorsten Henning
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Daniela Weber
- NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.,Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Catrin Herpich
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Franziska Jannasch
- NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Volkan Aykaç
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Protestant Geriatric Center Berlin (EGZB), Berlin, Germany
| | - Ursula Müller-Werdan
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Protestant Geriatric Center Berlin (EGZB), Berlin, Germany
| | - Matthias B Schulze
- NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), Muenchen, Neuherberg, Germany
| | - Tilman Grune
- NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.,Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.,German Center for Diabetes Research (DZD), Muenchen, Neuherberg, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany.,Department of Physiological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Kristina Norman
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam - Rehbruecke, Nuthetal, Germany.,Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| |
Collapse
|
3
|
Prada M, Wittenbecher C, Eichelmann F, Wernitz A, Kuxhaus O, Kröger J, Weikert C, Schulze MB. Plasma Industrial and Ruminant Trans Fatty Acids and Incident Type 2 Diabetes in the EPIC-Potsdam Cohort. Diabetes Care 2022; 45:845-853. [PMID: 35129607 PMCID: PMC9016738 DOI: 10.2337/dc21-1897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 01/09/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Although dietary intake of trans fatty acid (TFA) is a major public health concern because of the associated increase in the risk of cardiovascular events, it remains unclear whether TFAs also influence risk of type 2 diabetes (T2D) and whether industrial TFAs (iTFAs) and ruminant TFAs (rTFAs) exert the same effect on health. RESEARCH DESIGN AND METHODS To investigate the relationship of 7 rTFAs and iTFAs, including 2 conjugated linoleic acids (CLAs), plasma phospholipid TFAs were measured in a case-cohort study nested within the European Prospective Investigation Into Cancer and Nutrition-Potsdam cohort. The analytical sample was a random subsample (n = 1,248) and incident cases of T2D (n = 801) over a median follow-up of 6.5 years. Using multivariable Cox regression models, we examined associations of TFAs with incident T2D. RESULTS The TFA subtypes were intercorrelated with each other, with other fatty acids, and with different food sources. After controlling for other TFAs, the iTFAs (18:1n-6t, 18:1n-9t, 18:2n-6,9t) were not associated with diabetes risk. Some rTFA subtypes were inversely associated with diabetes risk: vaccenic acid (18:1n-7t; hazard ratio [HR] per SD 0.72; 95% CI 0.58-0.89) and t10c12-CLA (HR per SD 0.81; 95% CI 0.70-0.94), whereas c9t11-CLA was positively associated (HR per SD 1.39; 95% CI 1.19-1.62). Trans-palmitoleic acid (16:1n-7t) was not associated with diabetes risk when adjusting for the other TFAs (HR per SD 1.08; 95% CI 0.88-1.31). CONCLUSIONS The TFAs' conformation plays an essential role in their relationship to diabetes risk. rTFA subtypes may have opposing relationships to diabetes risk. Previous observations for reduced diabetes risk with higher levels of circulating trans-palmitoleic acid are likely due to confounding.
Collapse
Affiliation(s)
- Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Cornelia Weikert
- German Federal Institute for Risk Assessment, Department of Food Safety, Berlin, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| |
Collapse
|
4
|
Sellem L, Antoni R, Koutsos A, Ozen E, Wong G, Ayyad H, Weech M, Schulze MB, Wernitz A, Fielding BA, Robertson MD, Jackson KG, Griffin BA, Lovegrove JA. Impact of a food-based dietary fat exchange model for replacing dietary saturated with unsaturated fatty acids in healthy men on plasma phospholipids fatty acid profiles and dietary patterns. Eur J Nutr 2022; 61:3669-3684. [PMID: 35668120 PMCID: PMC9464142 DOI: 10.1007/s00394-022-02910-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 05/09/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE UK guidelines recommend dietary saturated fatty acids (SFAs) should not exceed 10% total energy (%TE) for cardiovascular disease prevention, with benefits observed when SFAs are replaced with unsaturated fatty acids (UFAs). This study aimed to assess the efficacy of a dietary exchange model using commercially available foods to replace SFAs with UFAs. METHODS Healthy men (n = 109, age 48, SD 11 year) recruited to the Reading, Imperial, Surrey, Saturated fat Cholesterol Intervention-1 (RISSCI-1) study (ClinicalTrials.Gov n°NCT03270527) followed two sequential 4-week isoenergetic moderate-fat (34%TE) diets: high-SFA (18%TE SFAs, 16%TE UFAs) and low-SFA (10%TE SFAs, 24%TE UFAs). Dietary intakes were assessed using 4-day weighed diet diaries. Nutrient intakes were analysed using paired t-tests, fasting plasma phospholipid fatty acid (PL-FA) profiles and dietary patterns were analysed using orthogonal partial least square discriminant analyses. RESULTS Participants exchanged 10.2%TE (SD 4.1) SFAs for 9.7%TE (SD 3.9) UFAs between the high and low-SFA diets, reaching target intakes with minimal effect on other nutrients or energy intakes. Analyses of dietary patterns confirmed successful incorporation of recommended foods from commercially available sources (e.g. dairy products, snacks, oils, and fats), without affecting participants' overall dietary intakes. Analyses of plasma PL-FAs indicated good compliance to the dietary intervention and foods of varying SFA content. CONCLUSIONS RISSCI-1 dietary exchange model successfully replaced dietary SFAs with UFAs in free-living healthy men using commercially available foods, and without altering their dietary patterns. Further intervention studies are required to confirm utility and feasibility of such food-based dietary fat replacement models at a population level.
Collapse
Affiliation(s)
- Laury Sellem
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| | - Rona Antoni
- Nutritional Sciences, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7WG UK
| | - Athanasios Koutsos
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK ,Present Address: Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER UK
| | - Ezgi Ozen
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| | - Gloria Wong
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| | - Hasnaa Ayyad
- Nutritional Sciences, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7WG UK
| | - Michelle Weech
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| | | | - Andreas Wernitz
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Barbara A. Fielding
- Nutritional Sciences, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7WG UK
| | - M. Denise Robertson
- Nutritional Sciences, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7WG UK
| | - Kim G. Jackson
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| | - Bruce A. Griffin
- Nutritional Sciences, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7WG UK
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition, and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Science, University of Reading, Whiteknights, Pepper Lane, Harry Nursten Building, Reading, RG6 6DZ UK
| |
Collapse
|
5
|
Prada M, Wittenbecher C, Eichelmann F, Wernitz A, Drouin-Chartier JP, Schulze MB. Association of the odd-chain fatty acid content in lipid groups with type 2 diabetes risk: A targeted analysis of lipidomics data in the EPIC-Potsdam cohort. Clin Nutr 2021; 40:4988-4999. [PMID: 34364238 DOI: 10.1016/j.clnu.2021.06.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Plasma odd-chain saturated fatty acids (OCFA) are inversely associated with type 2 diabetes (T2D) risk and may serve as biomarkers for dairy fat intake. Their distribution across different lipid classes and consequences for diabetes risk remain unknown. AIM To investigate the prospective associations of OCFA-containing lipid species with T2D risk and their dietary determinants. METHODS Within the European Prospective Investigation into Cancer and Nutrition-Potsdam study (n = 27,548), we applied a nested case-cohort design (subcohort: n = 1,248; T2D cases: n = 820; median follow-up 6.5 years). OCFA-containing lipids included triacylglycerols, free fatty acids (FFA), cholesteryl esters (CE), phosphatidylcholines, phosphatidylethanolamines, lysophosphatidylcholines, lysophosphatidylethanolamines, monoacylglycerols, and diacylglycerols. We estimated lipid class-specific associations between OCFA-containing lipids and T2D in sex-stratified Cox proportional-hazards models. We investigated correlations between lipids and dietary intakes derived from food-frequency questionnaires. RESULTS We observed heterogeneous integration of OCFA in different lipid classes: triacylglycerols, FFA, CE, and phosphatidylcholines contributed most to the total OCFA-plasma abundance. The relative concentration of OCFA was particularly high in monoacylglycerols, and the contribution of C15:0 versus C17:0 to the total OCFA-abundance differed across lipid classes. In women, several OCFA-containing phospholipids were inversely associated with T2D risk [phosphatidylcholine(C15:0), HR Q5 vs Q1: 0.56, 95% CI 0.32-0.97; phosphatidylcholine(C17:0), HR per SD: 0.59, 95% CI 0.48-0.71; lysophosphatidylcholine(C17:0), HR Q5 vs Q1: 0.42, 95% CI 0.23-0.76]. In men, we did not detect statistically significant inverse associations in phospholipids, and lysophosphatidylcholine(C15:0) was associated with higher T2D risk (HR Q5 vs. Q1: 1.96, 95% CI 1.06-3.63). Besides, CE(C17:0), monoacylglycerols(C15:0), and diacylglycerols(C15:0) were inversely associated with T2D risk; FFA(C17:0) was positively associated with T2D risk in women. Consumption of fat-rich dairy and fiber-rich foods were positively and red meat inversely correlated to OCFA-containing lipid plasma levels. CONCLUSIONS OCFA-containing lipids are linked to T2D risk in a lipid class and sex-specific manner, and they are correlated with several foods.
Collapse
Affiliation(s)
- Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec, Canada
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
| |
Collapse
|
6
|
Gohlke S, Zagoriy V, Cuadros Inostroza A, Méret M, Mancini C, Japtok L, Schumacher F, Kuhlow D, Graja A, Stephanowitz H, Jähnert M, Krause E, Wernitz A, Petzke KJ, Schürmann A, Kleuser B, Schulz TJ. Identification of functional lipid metabolism biomarkers of brown adipose tissue aging. Mol Metab 2019; 24:1-17. [PMID: 31003944 PMCID: PMC6531832 DOI: 10.1016/j.molmet.2019.03.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/22/2019] [Accepted: 03/28/2019] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Aging is accompanied by loss of brown adipocytes and a decline in their thermogenic potential, which may exacerbate the development of adiposity and other metabolic disorders. Presently, only limited evidence exists describing the molecular alterations leading to impaired brown adipogenesis with aging and the contribution of these processes to changes of systemic energy metabolism. METHODS Samples of young and aged murine brown and white adipose tissue were used to compare age-related changes of brown adipogenic gene expression and thermogenesis-related lipid mobilization. To identify potential markers of brown adipose tissue aging, non-targeted proteomic and metabolomic as well as targeted lipid analyses were conducted on young and aged tissue samples. Subsequently, the effects of several candidate lipid classes on brown adipocyte function were examined. RESULTS Corroborating previous reports of reduced expression of uncoupling protein-1, we observe impaired signaling required for lipid mobilization in aged brown fat after adrenergic stimulation. Omics analyses additionally confirm the age-related impairment of lipid homeostasis and reveal the accumulation of specific lipid classes, including certain sphingolipids, ceramides, and dolichols in aged brown fat. While ceramides as well as enzymes of dolichol metabolism inhibit brown adipogenesis, inhibition of sphingosine 1-phosphate receptor 2 induces brown adipocyte differentiation. CONCLUSIONS Our functional analyses show that changes in specific lipid species, as observed during aging, may contribute to reduced thermogenic potential. They thus uncover potential biomarkers of aging as well as molecular mechanisms that could contribute to the degradation of brown adipocytes, thereby providing potential treatment strategies of age-related metabolic conditions.
Collapse
Affiliation(s)
- Sabrina Gohlke
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | | | | | | | - Carola Mancini
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Lukasz Japtok
- Department of Toxicology, Institute of Nutritional Science, University of Potsdam, Potsdam-Rehbrücke, Nuthetal, Germany
| | - Fabian Schumacher
- Department of Toxicology, Institute of Nutritional Science, University of Potsdam, Potsdam-Rehbrücke, Nuthetal, Germany; Department of Molecular Biology, University of Duisburg-Essen, Essen, Germany
| | - Doreen Kuhlow
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Antonia Graja
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | | | - Markus Jähnert
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München, Neuherberg, Germany
| | - Eberhard Krause
- Leibniz Institute for Molecular Pharmacology, Berlin, Germany
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Klaus-Jürgen Petzke
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Annette Schürmann
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München, Neuherberg, Germany
| | - Burkhard Kleuser
- Department of Toxicology, Institute of Nutritional Science, University of Potsdam, Potsdam-Rehbrücke, Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research, Berlin, Potsdam, Germany
| | - Tim J Schulz
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München, Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam-Rehbrücke, Nuthetal, Germany.
| |
Collapse
|