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Rönn T, Ofori JK, Perfilyev A, Hamilton A, Pircs K, Eichelmann F, Garcia-Calzon S, Karagiannopoulos A, Stenlund H, Wendt A, Volkov P, Schulze MB, Mulder H, Eliasson L, Ruhrmann S, Bacos K, Ling C. Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes. Nat Commun 2023; 14:8040. [PMID: 38086799 PMCID: PMC10716521 DOI: 10.1038/s41467-023-43719-9] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023] Open
Abstract
Epigenetic dysregulation may influence disease progression. Here we explore whether epigenetic alterations in human pancreatic islets impact insulin secretion and type 2 diabetes (T2D). In islets, 5,584 DNA methylation sites exhibit alterations in T2D cases versus controls and are associated with HbA1c in individuals not diagnosed with T2D. T2D-associated methylation changes are found in enhancers and regions bound by β-cell-specific transcription factors and associated with reduced expression of e.g. CABLES1, FOXP1, GABRA2, GLR1A, RHOT1, and TBC1D4. We find RHOT1 (MIRO1) to be a key regulator of insulin secretion in human islets. Rhot1-deficiency in β-cells leads to reduced insulin secretion, ATP/ADP ratio, mitochondrial mass, Ca2+, and respiration. Regulators of mitochondrial dynamics and metabolites, including L-proline, glycine, GABA, and carnitines, are altered in Rhot1-deficient β-cells. Islets from diabetic GK rats present Rhot1-deficiency. Finally, RHOT1methylation in blood is associated with future T2D. Together, individuals with T2D exhibit epigenetic alterations linked to mitochondrial dysfunction in pancreatic islets.
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Affiliation(s)
- Tina Rönn
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Jones K Ofori
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Alexander Perfilyev
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Alexander Hamilton
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
- Department of Biology, University of Copenhagen, København, Denmark
| | - Karolina Pircs
- Laboratory of Molecular Neurogenetics, Department of Experimental Medical Science, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lund University, Lund, Sweden
- HCEMM-Su, Neurobiology and Neurodegenerative Diseases Research Group, Budapest, Hungary
- Institute of Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Sonia Garcia-Calzon
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
- Department of Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alexandros Karagiannopoulos
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Hans Stenlund
- Swedish Metabolomics Centre, Umeå University, Umeå, Sweden
| | - Anna Wendt
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Petr Volkov
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Hindrik Mulder
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Lena Eliasson
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Sabrina Ruhrmann
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Karl Bacos
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
| | - Charlotte Ling
- Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden.
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Vincze F, Muka T, Eichelmann F, Llanaj E. Eating out intensity, ultra-processed foods and BMI among Albanian youth. Public Health Nutr 2023; 26:2953-2962. [PMID: 37842793 PMCID: PMC10755451 DOI: 10.1017/s1368980023002173] [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: 11/24/2022] [Revised: 08/31/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE Ultra-processed foods (UPF) and eating out of home (OH) are changing nutrition, particularly among youth in constrained settings. We aimed to assess the role of eating OH intensity on the associations of UPF and unprocessed or minimally processed foods (UMPF) with BMI among Albanian youth. DESIGN Cross-sectional. SETTING Albania, a south-eastern European country. PARTICIPANTS 281 youth, predominantly females. METHODS UPF and UMPF were defined based on NOVA, while eating OH intensity based on energy percentage from OH foods. Multivariable models tested associations of UPF and UMPF with BMI stratified by eating OH intensity, controlled for relevant covariates including diet quality, portion size and costs. RESULTS The respondents age ranged between 18 and 23 years with a female predominance (87·5 %). Mean energy from UPF and UMPF was 846 (sd: 573·0) and 802·9 (422·5) kcals, respectively. Among substantial at home eaters UPF intake was not associated (β = −0·07, 95 % CI (−0·13, 0·267)) with BMI; however, UMPF negatively associated with BMI (β = −0·24, 95 % CI (−0·43, −0·06)). Among those defined as substantial OH eaters, UPF (β = 0·24, 95 % CI (0·08, 0·40)) and UMPF (β = 0·18, 95 % CI (0·04, 0·33)) were positively associated with BMI. CONCLUSIONS Our findings provide evidence for the hypothesis that eating OH plays an important role in the association of UPF and UMPF with BMI in youth. While causality cannot be established due to cross-sectional design, to the best of our knowledge, we provide the first assessment of UPF and UMPF intake in a south-eastern European setting, while highlighting the need for establishing and integrating youth nutrition into national nutritional surveillance systems for key dietary risk factors in Albania.
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Affiliation(s)
- Ferenc Vincze
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Meta-Research Innovation Centre at Stanford (METRICS), Stanford University, Stanford, CA, USA
- Epistudia, Bern, Switzerland
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, Nuthetal, 14558, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Erand Llanaj
- Epistudia, Bern, Switzerland
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, Nuthetal, 14558, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
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Ouni M, Eichelmann F, Jähnert M, Krause C, Saussenthaler S, Ott C, Gottmann P, Speckmann T, Huypens P, Wolter S, Mann O, De Angelis MH, Beckers J, Kirchner H, Schulze MB, Schürmann A. Differences in DNA methylation of HAMP in blood cells predicts the development of type 2 diabetes. Mol Metab 2023; 75:101774. [PMID: 37429525 PMCID: PMC10422014 DOI: 10.1016/j.molmet.2023.101774] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/12/2023] Open
Abstract
OBJECTIVES Better disease management can be achieved with earlier detection through robust, sensitive, and easily accessible biomarkers. The aim of the current study was to identify novel epigenetic biomarkers determining the risk of type 2 diabetes (T2D). METHODS Livers of 10-week-old female New Zealand Obese (NZO) mice, slightly differing in their degree of hyperglycemia and liver fat content and thereby in their diabetes susceptibility were used for expression and methylation profiling. We screened for differences in hepatic expression and DNA methylation in diabetes-prone and -resistant mice, and verified a candidate (HAMP) in human livers and blood cells. Hamp expression was manipulated in primary hepatocytes and insulin-stimulated pAKT was detected. Luciferase reporter assays were conducted in a murine liver cell line to test the impact of DNA methylation on promoter activity. RESULTS In livers of NZO mice, the overlap of methylome and transcriptome analyses revealed a potential transcriptional dysregulation of 12 hepatokines. The strongest effect with a 52% decreased expression in livers of diabetes-prone mice was detected for the Hamp gene, mediated by elevated DNA methylation of two CpG sites located in the promoter. Hamp encodes the iron-regulatory hormone hepcidin, which had a lower abundance in the livers of mice prone to developing diabetes. Suppression of Hamp reduces the levels of pAKT in insulin-treated hepatocytes. In liver biopsies of obese insulin-resistant women, HAMP expression was significantly downregulated along with increased DNA methylation of a homologous CpG site. In blood cells of incident T2D cases from the prospective EPIC-Potsdam cohort, higher DNA methylation of two CpG sites was related to increased risk of incident diabetes. CONCLUSIONS We identified epigenetic changes in the HAMP gene which may be used as an early marker preceding T2D.
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Affiliation(s)
- Meriem Ouni
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Fabian Eichelmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; German Institute of Human Nutrition, Department of Molecular Epidemiology, Potsdam-Rehbruecke, Germany
| | - Markus Jähnert
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Christin Krause
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Human Genetics, Section Epigenetics & Metabolism, University of Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Germany
| | - Sophie Saussenthaler
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Christiane Ott
- German Institute of Human Nutrition, Department of Molecular Toxicology, Potsdam-Rehbruecke, Germany; DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Pascal Gottmann
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Thilo Speckmann
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Peter Huypens
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefan Wolter
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Oliver Mann
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Hrabé De Angelis
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; School of Life Sciences, Chair of Experimental Genetics, Technical University Munich, Freising, Germany
| | - Johannes Beckers
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany; School of Life Sciences, Chair of Experimental Genetics, Technical University Munich, Freising, Germany
| | - Henriette Kirchner
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Human Genetics, Section Epigenetics & Metabolism, University of Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Germany
| | - Matthias B Schulze
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; German Institute of Human Nutrition, Department of Molecular Epidemiology, Potsdam-Rehbruecke, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Annette Schürmann
- German Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
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Cuadrat RRC, Goris T, Birukov A, Eichelmann F, Andrade BGN, Bang C, Franke A, Wittenbecher C, Schulze MB. Association of the human gut microbiota with vascular stiffness. Sci Rep 2023; 13:13348. [PMID: 37587126 PMCID: PMC10432492 DOI: 10.1038/s41598-023-40178-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 08/06/2023] [Indexed: 08/18/2023] Open
Abstract
Gut microbiota metabolites have been mechanistically linked to inflammatory pathway activation and atherosclerosis, which are major causes of vascular stiffness (VS). Aiming to investigate if the gut microbiome might be involved in VS development, we performed a cross-sectional study (n = 3,087), nested within the population-based European Prospective Investigations into Cancer and Nutrition (EPIC) Potsdam. We investigated the correlation of the gut microbiota (alpha diversity and taxa abundance) with 3 vascular stiffness measures: carotid-femoral (PWV), aortic augmentation index (AIX) and ankle-brachial index (ABI). Shannon index was not significantly associated with VS but the number of observed Amplicon Sequence Variants (ASV) was positively associated with PWV and AIX. We found a total of 19 ASVs significantly associated with at least one VS measure in multivariable-adjusted models. One ASV (classified as Sutterella wadsworthensis) was associated with 2 VS measures, AIX (- 0.11 ± 0.04) and PWV (-0.14 ± 0.03). Other examples of ASVs associated with VS were Collinsella aerofaciens, previously reported to be affected by diet and Bacteroides uniformis, commercially available as probiotics. In conclusion, our study suggests a potential role of individual components of the gut microbiota in the aetiology of VS.
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Affiliation(s)
- Rafael R C Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Bioinformatics and Omics Data Science, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center (MDC), Berlin, Germany
| | - Tobias Goris
- Research Group Intestinal Microbiology, Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Bruno G N Andrade
- Department of Computer Science, Munster Technological University, MTU/ADAPT, Cork, Ireland
| | - Corinna Bang
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
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5
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Villasanta-Gonzalez A, Mora-Ortiz M, Alcala-Diaz JF, Rivas-Garcia L, Torres-Peña JD, Lopez-Bascon A, Calderon-Santiago M, Arenas-Larriva AP, Priego-Capote F, Malagon MM, Eichelmann F, Perez-Martinez P, Delgado-Lista J, Schulze MB, Camargo A, Lopez-Miranda J. Plasma lipidic fingerprint associated with type 2 diabetes in patients with coronary heart disease: CORDIOPREV study. Cardiovasc Diabetol 2023; 22:199. [PMID: 37537576 PMCID: PMC10401778 DOI: 10.1186/s12933-023-01933-1] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/21/2023] [Indexed: 08/05/2023] Open
Abstract
OBJECTIVE We aimed to identify a lipidic profile associated with type 2 diabetes mellitus (T2DM) development in coronary heart disease (CHD) patients, to provide a new, highly sensitive model which could be used in clinical practice to identify patients at T2DM risk. METHODS This study considered the 462 patients of the CORDIOPREV study (CHD patients) who were not diabetic at the beginning of the intervention. In total, 107 of them developed T2DM after a median follow-up of 60 months. They were diagnosed using the American Diabetes Association criteria. A novel lipidomic methodology employing liquid chromatography (LC) separation followed by HESI, and detection by mass spectrometry (MS) was used to annotate the lipids at the isomer level. The patients were then classified into a Training and a Validation Set (60-40). Next, a Random Survival Forest (RSF) was carried out to detect the lipidic isomers with the lowest prediction error, these lipids were then used to build a Lipidomic Risk (LR) score which was evaluated through a Cox. Finally, a production model combining the clinical variables of interest, and the lipidic species was carried out. RESULTS LC-tandem MS annotated 440 lipid species. From those, the RSF identified 15 lipid species with the lowest prediction error. These lipids were combined in an LR score which showed association with the development of T2DM. The LR hazard ratio per unit standard deviation was 2.87 and 1.43, in the Training and Validation Set respectively. Likewise, patients with higher LR Score values had lower insulin sensitivity (P = 0.006) and higher liver insulin resistance (P = 0.005). The receiver operating characteristic (ROC) curve obtained by combining clinical variables and the selected lipidic isomers using a generalised lineal model had an area under the curve (AUC) of 81.3%. CONCLUSION Our study showed the potential of comprehensive lipidomic analysis in identifying patients at risk of developing T2DM. In addition, the lipid species combined with clinical variables provided a new, highly sensitive model which can be used in clinical practice to identify patients at T2DM risk. Moreover, these results also indicate that we need to look closely at isomers to understand the role of this specific compound in T2DM development. Trials registration NCT00924937.
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Affiliation(s)
- Alejandro Villasanta-Gonzalez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Marina Mora-Ortiz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Juan F Alcala-Diaz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Lorenzo Rivas-Garcia
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Jose D Torres-Peña
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Asuncion Lopez-Bascon
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Monica Calderon-Santiago
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P Arenas-Larriva
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Feliciano Priego-Capote
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria M Malagon
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
| | - Fabian Eichelmann
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Matthias B Schulze
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- Germany Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Antonio Camargo
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain.
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain.
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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Sellem L, Eichelmann F, Jackson KG, Wittenbecher C, Schulze MB, Lovegrove JA. Replacement of dietary saturated with unsaturated fatty acids is associated with beneficial effects on lipidome metabolites: a secondary analysis of a randomized trial. Am J Clin Nutr 2023:S0002-9165(23)46314-9. [PMID: 37062359 DOI: 10.1016/j.ajcnut.2023.03.024] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND The effects of replacing dietary saturated fatty acids (SFAs) with monounsaturated fatty acids (MUFAs) and/or polyunsaturated fatty acids (PUFAs) on the plasma lipidome in relation to the cardiometabolic disease (CMD) risk are poorly understood. OBJECTIVES We aimed to assess the impact of substituting dietary SFAs with unsaturated fatty acids (UFAs) on the plasma lipidome and examine the relationship between lipid metabolites modulated by diet and CMD risk. METHODS Plasma fatty acid (FA) concentrations among 16 lipid classes (within-class FAs) were measured in a subgroup from the Dietary Intervention and VAScular function (DIVAS) parallel randomized controlled trial (n = 113/195), which consisted of three 16-wk diets enriched in SFAs (target SFA:MUFA:n-6PUFA ratio = 17:11:4% total energy [TE]), MUFAs (9:19:4% TE), or a MUFA/PUFA mixture (9:13:10% TE). Similar lipidomics analyses were conducted in the European investigation into Cancer and Nutrition (EPIC)-Potsdam prospective cohort study (specific case/cohorts: n = 775/1886 for type 2 diabetes [T2D], n = 551/1671 for cardiovascular disease [CVD]). Multiple linear regression and multivariable Cox models identified within-class FAs sensitive to replacement of dietary SFA with UFA in DIVAS and their association with CMD risk in EPIC-Potsdam. Elastic-net regression models identified within-class FAs associated with changes in CMD risk markers post-DIVAS interventions. RESULTS DIVAS high-UFA interventions reduced plasma within-class FAs associated with a higher CVD risk in EPIC-Potsdam, especially SFA-containing glycerolipids and sphingolipids (e.g., diacylglycerol (20:0) z-score = -1.08; SE = 0.17; P value < 10-8), whereas they increased those inversely associated with CVD risk. The results on T2D were less clear. Specific sphingolipids and phospholipids were associated with changes in markers of endothelial function and ambulatory blood pressure, whereas higher low-density lipoprotein cholesterol concentrations were characterized by higher plasma glycerolipids containing lauric and stearic acids. CONCLUSIONS These results suggest a mediating role of plasma lipid metabolites in the association between dietary fat and CMD risk. Future research combining interventional and observational findings will further our understanding of the role of dietary fat in CMD etiology. This trial was registered in ClinicalTrials.gov as NCT01478958.
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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, UK
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - 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, UK
| | - Clemens Wittenbecher
- Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - 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, UK.
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7
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Prada M, Eichelmann F, Wittenbecher C, Kuxhaus O, Schulze MB. Plasma Lipidomic n-6 Polyunsaturated Fatty Acids and Type 2 Diabetes Risk in the EPIC-Potsdam Prospective Cohort Study. Diabetes Care 2023; 46:836-844. [PMID: 36787959 PMCID: PMC10090908 DOI: 10.2337/dc22-1435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 01/17/2023] [Indexed: 02/16/2023]
Abstract
OBJECTIVE Evidence on plasma n-6 polyunsaturated fatty acids (PUFAs) and type 2 diabetes risk is inconsistent. We examined the associations of lipid class-specific PUFA concentrations with type 2 diabetes risk. RESEARCH DESIGN AND METHODS In the prospective European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (nested case-cohort study: subcohort 1,084 participants, 536 participants with type 2 diabetes, median follow-up 6.5 years), we measured plasma 18:2, 20:3, and 20:4 concentrations in 12 lipid (sub)classes, likely reflecting the plasma concentrations of linoleic acid (18:2n-6), dihomo-γ-linolenic acid (20:3n-6), and arachidonic acid (20:4n-6). The Δ-5 desaturase (D5D) activity was estimated as the 20:4/20:3 ratio. Associations with diabetes were estimated with Cox proportional hazards models. RESULTS Higher concentrations of 18:2 were inversely associated with type 2 diabetes risk, particularly in lysophosphatidylcholines (hazard ratio [HR] per 1 SD 0.53; 95% CI 0.23-1.26) and monoacylglycerols (HR 0.59; 0.38-0.92). Higher concentrations of 20:3 in phospholipid classes phosphatidylcholines (HR 1.63; 1.23-2.14), phosphatidylethanolamines (HR 1.87; 1.32-2.65), and phosphatidylinositol (HR 1.40; 1.05-1.87); free fatty acids (HR 1.44; 1.10-1.90); and cholesteryl esters (HR 1.47; 1.09-1.98) were linked to higher type 2 diabetes incidence, and these associations remained statistically significant after correction for multiple testing. Higher 20:4 concentrations were not associated with risk. The estimated D5D activity in phospholipids and cholesteryl esters was associated with lower type 2 diabetes risk. Single nucleotide polymorphisms in the D5D-encoding FADS genes explained relatively high proportions of variation of estimated D5D activity in those lipid classes. CONCLUSIONS Plasma n-6 PUFAs were associated differently with type 2 diabetes, depending on fatty acid and the lipid class.
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Affiliation(s)
- Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- SciLifeLab, Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
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8
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Rothwell JA, Bešević J, Dimou N, Breeur M, Murphy N, Jenab M, Wedekind R, Viallon V, Ferrari P, Achaintre D, Gicquiau A, Rinaldi S, Scalbert A, Huybrechts I, Prehn C, Adamski J, Cross AJ, Keun H, Chadeau-Hyam M, Boutron-Ruault MC, Overvad K, Dahm CC, Nøst TH, Sandanger TM, Skeie G, Zamora-Ros R, Tsilidis KK, Eichelmann F, Schulze MB, van Guelpen B, Vidman L, Sánchez MJ, Amiano P, Ardanaz E, Smith-Byrne K, Travis R, Katzke V, Kaaks R, Derksen JWG, Colorado-Yohar S, Tumino R, Bueno-de-Mesquita B, Vineis P, Palli D, Pasanisi F, Eriksen AK, Tjønneland A, Severi G, Gunter MJ. Circulating amino acid levels and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition and UK Biobank cohorts. BMC Med 2023; 21:80. [PMID: 36855092 PMCID: PMC9976469 DOI: 10.1186/s12916-023-02739-4] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/16/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Amino acid metabolism is dysregulated in colorectal cancer patients; however, it is not clear whether pre-diagnostic levels of amino acids are associated with subsequent risk of colorectal cancer. We investigated circulating levels of amino acids in relation to colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts. METHODS Concentrations of 13-21 amino acids were determined in baseline fasting plasma or serum samples in 654 incident colorectal cancer cases and 654 matched controls in EPIC. Amino acids associated with colorectal cancer risk following adjustment for the false discovery rate (FDR) were then tested for associations in the UK Biobank, for which measurements of 9 amino acids were available in 111,323 participants, of which 1221 were incident colorectal cancer cases. RESULTS Histidine levels were inversely associated with colorectal cancer risk in EPIC (odds ratio [OR] 0.80 per standard deviation [SD], 95% confidence interval [CI] 0.69-0.92, FDR P-value=0.03) and in UK Biobank (HR 0.93 per SD, 95% CI 0.87-0.99, P-value=0.03). Glutamine levels were borderline inversely associated with colorectal cancer risk in EPIC (OR 0.85 per SD, 95% CI 0.75-0.97, FDR P-value=0.08) and similarly in UK Biobank (HR 0.95, 95% CI 0.89-1.01, P=0.09) In both cohorts, associations changed only minimally when cases diagnosed within 2 or 5 years of follow-up were excluded. CONCLUSIONS Higher circulating levels of histidine were associated with a lower risk of colorectal cancer in two large prospective cohorts. Further research to ascertain the role of histidine metabolism and potentially that of glutamine in colorectal cancer development is warranted.
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Affiliation(s)
- Joseph A Rothwell
- Centre for Epidemiology and Population Health (Inserm U1018), Exposome and Heredity team, Faculté de Médecine, Université Paris-Saclay, UVSQ, Gustave Roussy, F-94805, Villejuif, France.
| | - Jelena Bešević
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Niki Dimou
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Marie Breeur
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Neil Murphy
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Roland Wedekind
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - David Achaintre
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Audrey Gicquiau
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Augustin Scalbert
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Cornelia Prehn
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Jerzy Adamski
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Amanda J Cross
- School of Public Health, Imperial College London, London, UK
| | - Hector Keun
- Department of Surgery & Cancer, Imperial College London, London, UK
| | | | - Marie-Christine Boutron-Ruault
- Centre for Epidemiology and Population Health (Inserm U1018), Exposome and Heredity team, Faculté de Médecine, Université Paris-Saclay, UVSQ, Gustave Roussy, F-94805, Villejuif, France
| | - Kim Overvad
- Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000, Aarhus, Denmark
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000, Aarhus, Denmark
| | - Therese Haugdahl Nøst
- Faculty of Health Sciences, Department of Community Medicine, UiT the Arctic University of Norway, N-9037, Tromsø, Norway
| | - Torkjel M Sandanger
- Faculty of Health Sciences, Department of Community Medicine, UiT the Arctic University of Norway, N-9037, Tromsø, Norway
| | - Guri Skeie
- Faculty of Health Sciences, Department of Community Medicine, UiT the Arctic University of Norway, N-9037, Tromsø, Norway
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Kostas K Tsilidis
- School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Fabian Eichelmann
- German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Linda Vidman
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública (EASP), 18011, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, 18012, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Navarra Public Health Institute, Leyre 15, 31003, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
| | - Ruth Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Jeroen W G Derksen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sandra Colorado-Yohar
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP), Ragusa, Italy
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720, BA, Bilthoven, The Netherlands
| | - Paolo Vineis
- School of Public Health, Imperial College London, London, UK
- Italian Institute of Technology, Genova, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Fabrizio Pasanisi
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Anne Kirstine Eriksen
- Danish Cancer Society Research Center, Diet, Genes and Environment, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Genes and Environment, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
| | - Gianluca Severi
- Centre for Epidemiology and Population Health (Inserm U1018), Exposome and Heredity team, Faculté de Médecine, Université Paris-Saclay, UVSQ, Gustave Roussy, F-94805, Villejuif, France
- Department of Statistics, Computer Science, Applications "G. Parenti" University of Florence, Florence, Italy
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC), 150 cours Albert Thomas, 69008, Lyon, France
- School of Public Health, Imperial College London, London, UK
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9
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Allione A, Viberti C, Cotellessa I, Catalano C, Casalone E, Cugliari G, Russo A, Guarrera S, Mirabelli D, Sacerdote C, Gentile M, Eichelmann F, Schulze MB, Harlid S, Eriksen AK, Tjønneland A, Andersson M, Dollé MET, Van Puyvelde H, Weiderpass E, Rodriguez-Barranco M, Agudo A, Heath AK, Chirlaque MD, Truong T, Dragic D, Severi G, Sieri S, Sandanger TM, Ardanaz E, Vineis P, Matullo G. Blood cell DNA methylation biomarkers in preclinical malignant pleural mesothelioma: The EPIC prospective cohort. Int J Cancer 2023; 152:725-737. [PMID: 36305648 DOI: 10.1002/ijc.34339] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 02/01/2023]
Abstract
Malignant pleural mesothelioma (MPM) is a rare and aggressive cancer mainly caused by asbestos exposure. Specific and sensitive noninvasive biomarkers may facilitate and enhance screening programs for the early detection of cancer. We investigated DNA methylation (DNAm) profiles in MPM prediagnostic blood samples in a case-control study nested in the European Prospective Investigation into Cancer and nutrition (EPIC) cohort, aiming to characterise DNAm biomarkers associated with MPM. From the EPIC cohort, we included samples from 135 participants who developed MPM during 20 years of follow-up and from 135 matched, cancer-free, controls. For the discovery phase we selected EPIC participants who developed MPM within 5 years from enrolment (n = 36) with matched controls. We identified nine differentially methylated CpGs, selected by 10-fold cross-validation and correlation analyses: cg25755428 (MRI1), cg20389709 (KLF11), cg23870316, cg13862711 (LHX6), cg06417478 (HOOK2), cg00667948, cg01879420 (AMD1), cg25317025 (RPL17) and cg06205333 (RAP1A). Receiver operating characteristic (ROC) analysis showed that the model including baseline characteristics (age, sex and PC1wbc) along with the nine MPM-related CpGs has a better predictive value for MPM occurrence than the baseline model alone, maintaining some performance also at more than 5 years before diagnosis (area under the curve [AUC] < 5 years = 0.89; AUC 5-10 years = 0.80; AUC >10 years = 0.75; baseline AUC range = 0.63-0.67). DNAm changes as noninvasive biomarkers in prediagnostic blood samples of MPM cases were investigated for the first time. Their application can improve the identification of asbestos-exposed individuals at higher MPM risk to possibly adopt more intensive monitoring for early disease identification.
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Affiliation(s)
| | - Clara Viberti
- Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - Chiara Catalano
- Department of Medical Sciences, University of Turin, Turin, Italy
| | | | | | - Alessia Russo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- IIGM-Italian Institute for Genomic Medicine, c/o IRCCS, Turin, Italy
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Dario Mirabelli
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
- Interdepartmental Center for Studies on Asbestos and Other Toxic Particulates "G. Scansetti", University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | | | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- University of Potsdam, Institute of Nutritional Science, Nuthetal, Germany
| | - Sophia Harlid
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Anne Kirstine Eriksen
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Martin Andersson
- Department of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Umeå, Sweden
| | - Martijn E T Dollé
- Centre for Health Protection National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Heleen Van Puyvelde
- International Agency for Research on Cancer, World Health Organisation, Lyon, France
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organisation, Lyon, France
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - María-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Thérèse Truong
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome, Heredity, Cancer and Health" Team, Paris, France
| | - Dzevka Dragic
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome, Heredity, Cancer and Health" Team, Paris, France
- Centre de Recherche sur le Cancer de l'Université Laval, Département de Médecine Sociale et Préventive, Faculté de Médecine, Québec, Canada
- Axe Oncologie, Centre de Recherche du CHU de Québec-Université Laval, Québec, Canada
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome, Heredity, Cancer and Health" Team, Paris, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy
| | - Torkjel M Sandanger
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Eva Ardanaz
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Paolo Vineis
- MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
- Interdepartmental Center for Studies on Asbestos and Other Toxic Particulates "G. Scansetti", University of Turin, Turin, Italy
- Medical Genetics Unit, AOU Città della Salute e Della Scienza, Turin, Italy
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10
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Eichelmann F, Schulze MB. Response by Eichelmann and Schulze to Letter Regarding Article, "Deep Lipidomics in Human Plasma: Cardiometabolic Disease Risk and Effect of Dietary Fat Modulation". Circulation 2023; 147:e72. [PMID: 36716251 DOI: 10.1161/circulationaha.122.062689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany (F.E., M.B.S.).,German Center for Diabetes Research, Neuherberg, Germany (F.E., M.B.S.)
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany (F.E., M.B.S.).,German Center for Diabetes Research, Neuherberg, Germany (F.E., M.B.S.).,Institute of Nutritional Science, University of Potsdam, Germany (M.B.S)
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11
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Birukov A, Plavša B, Eichelmann F, Kuxhaus O, Hoshi RA, Rudman N, Štambuk T, Trbojević-Akmačić I, Schiborn C, Morze J, Mihelčić M, Cindrić A, Liu Y, Demler O, Perola M, Mora S, Schulze MB, Lauc G, Wittenbecher C. Immunoglobulin G N-Glycosylation Signatures in Incident Type 2 Diabetes and Cardiovascular Disease. Diabetes Care 2022; 45:2729-2736. [PMID: 36174116 PMCID: PMC9679264 DOI: 10.2337/dc22-0833] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/20/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE N-glycosylation is a functional posttranslational modification of immunoglobulins (Igs). We hypothesized that specific IgG N-glycans are associated with incident type 2 diabetes and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS We performed case-cohort studies within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (2,127 in the type 2 diabetes subcohort [741 incident cases]; 2,175 in the CVD subcohort [417 myocardial infarction and stroke cases]). Relative abundances of 24 IgG N-glycan peaks (IgG-GPs) were measured by ultraperformance liquid chromatography, and eight glycosylation traits were derived based on structural similarity. End point-associated IgG-GPs were preselected with fractional polynomials, and prospective associations were estimated in confounder-adjusted Cox models. Diabetes risk associations were validated in three independent studies. RESULTS After adjustment for confounders and multiple testing correction, IgG-GP7, IgG-GP8, IgG-GP9, IgG-GP11, and IgG-GP19 were associated with type 2 diabetes risk. A score based on these IgG-GPs was associated with a higher diabetes risk in EPIC-Potsdam and independent validation studies (843 total cases, 3,149 total non-cases, pooled estimate per SD increase 1.50 [95% CI 1.37-1.64]). Associations of IgG-GPs with CVD risk differed between men and women. In women, IgG-GP9 was inversely associated with CVD risk (hazard ratio [HR] per SD 0.80 [95% CI 0.65-0.98]). In men, a weighted score based on IgG-GP19 and IgG-GP23 was associated with higher CVD risk (HR per SD 1.47 [95% CI 1.20-1.80]). In addition, several derived traits were associated with cardiometabolic disease incidence. CONCLUSIONS Selected IgG N-glycans are associated with cardiometabolic risk beyond classic risk factors, including clinical biomarkers.
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Affiliation(s)
- Anna Birukov
- 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
| | - Branimir Plavša
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Fabian Eichelmann
- 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
| | - Rosangela Akemi Hoshi
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Najda Rudman
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | | | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Jakub Morze
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cardiology and Internal Medicine, University of Warmia and Mazury, Olsztyn, Poland
| | | | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Yanyan Liu
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Olga Demler
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Computer Science Department, ETH Zurich, Zurich, Switzerland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samia Mora
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - 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
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- SciLifeLab, Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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12
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Breeur M, Ferrari P, Dossus L, Jenab M, Johansson M, Rinaldi S, Travis RC, His M, Key TJ, Schmidt JA, Overvad K, Tjønneland A, Kyrø C, Rothwell JA, Laouali N, Severi G, Kaaks R, Katzke V, Schulze MB, Eichelmann F, Palli D, Grioni S, Panico S, Tumino R, Sacerdote C, Bueno-de-Mesquita B, Olsen KS, Sandanger TM, Nøst TH, Quirós JR, Bonet C, Barranco MR, Chirlaque MD, Ardanaz E, Sandsveden M, Manjer J, Vidman L, Rentoft M, Muller D, Tsilidis K, Heath AK, Keun H, Adamski J, Keski-Rahkonen P, Scalbert A, Gunter MJ, Viallon V. Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition. BMC Med 2022; 20:351. [PMID: 36258205 PMCID: PMC9580145 DOI: 10.1186/s12916-022-02553-4] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 09/05/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. METHODS We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty. RESULTS Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk. CONCLUSIONS These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.
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Affiliation(s)
- Marie Breeur
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Mazda Jenab
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Mattias Johansson
- Genetics Branch, International Agency for Research on Cancer, 69372 CEDEX 08, Lyon, France
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Mathilde His
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Tim J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, DK-8200, Aarhus N, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center Diet, Genes and Environment Nutrition and Biomarkers, DK-2100, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center Diet, Genes and Environment Nutrition and Biomarkers, DK-2100, Copenhagen, Denmark
| | - Joseph A Rothwell
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, 94800, Villejuif, France
| | - Nasser Laouali
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, 94800, Villejuif, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome and Heredity" team, Gustave Roussy, 94800, Villejuif, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition, 14558, Nuthetal, Germany
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Domenico Palli
- Institute of Cancer Research, Prevention and Clinical Network (ISPRO), 50139, Florence, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, 80131, Naples, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE-ONLUS, 97100, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology Città della Salute e della Scienza University-Hospital, 10126, Turin, Italy
| | - Bas Bueno-de-Mesquita
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720, BA, Bilthoven, The Netherlands
| | - Karina Standahl Olsen
- Department of Community Medicine, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
| | | | - Therese Haugdahl Nøst
- Department of Community Medicine, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
| | - J Ramón Quirós
- Public Health Directorate, 33006, Oviedo, Asturias, Spain
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Miguel Rodríguez Barranco
- Escuela Andaluza de Salud Pública (EASP), 18011, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, 18012, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
| | - María-Dolores Chirlaque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30003, Murcia, Spain
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Navarra Public Health Institute, 31003, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Malte Sandsveden
- Department of Clinical Sciences Malmö Lund University, SE-214 28, Malmö, Sweden
| | - Jonas Manjer
- Departement of Surgery, Skåne University Hospital Malmö, Lund University, SE-214 28, Malmö, Sweden
| | - Linda Vidman
- Department of Radiation Sciences, Oncology Umeå University, SE-901 87, Umeå, Sweden
| | - Matilda Rentoft
- Department of Radiation Sciences, Oncology Umeå University, SE-901 87, Umeå, Sweden
| | - David Muller
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Kostas Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Hector Keun
- Department of Surgery and Cancer, Cancer Metabolism and Systems Toxicology Group, Division of Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, NME Branch, 69372 CEDEX 08, Lyon, France.
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13
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Grenville ZS, Noor U, His M, Viallon V, Rinaldi S, Aglago EK, Amiano P, Brunkwall L, Chirlaque MD, Drake I, Eichelmann F, Freisling H, Grioni S, Heath AK, Kaaks R, Katzke V, Mayén-Chacon AL, Milani L, Moreno-Iribas C, Pala V, Olsen A, Sánchez MJ, Schulze MB, Tjønneland A, Tsilidis KK, Weiderpass E, Winkvist A, Zamora-Ros R, Key TJ, Smith-Byrne K, Travis RC, Schmidt JA. Diet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer. Nutrients 2022; 14:3306. [PMID: 36014812 PMCID: PMC9415102 DOI: 10.3390/nu14163306] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
Three metabolite patterns have previously shown prospective inverse associations with the risk of aggressive prostate cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC). Here, we investigated dietary and lifestyle correlates of these three prostate cancer-related metabolite patterns, which included: 64 phosphatidylcholines and three hydroxysphingomyelins (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate, ornithine, and taurine (Pattern 2), and 8 lysophosphatidylcholines (Pattern 3). In a two-stage cross-sectional discovery (n = 2524) and validation (n = 518) design containing 3042 men free of cancer in EPIC, we estimated the associations of 24 dietary and lifestyle variables with each pattern and the contributing individual metabolites. Associations statistically significant after both correction for multiple testing (False Discovery Rate = 0.05) in the discovery set and at p < 0.05 in the validation set were considered robust. Intakes of alcohol, total fish products, and its subsets total fish and lean fish were positively associated with Pattern 1. Body mass index (BMI) was positively associated with Pattern 2, which appeared to be driven by a strong positive BMI-glutamate association. Finally, both BMI and fatty fish were inversely associated with Pattern 3. In conclusion, these results indicate associations of fish and its subtypes, alcohol, and BMI with metabolite patterns that are inversely associated with risk of aggressive prostate cancer.
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Affiliation(s)
- Zoe S. Grenville
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Mathilde His
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Elom K. Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Louise Brunkwall
- Department of Clinical Sciences, Lund University, 221 84 Malmö, Sweden
| | - María Dolores Chirlaque
- CIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30008 Murcia, Spain
| | - Isabel Drake
- Department of Clinical Sciences, Lund University, 221 84 Malmö, Sweden
- Skåne University Hospital, 214 28 Malmö, Sweden
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition, 14558 Nuthetal, Germany
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Rudolf Kaaks
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Ana-Lucia Mayén-Chacon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Lorenzo Milani
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, 10124 Turin, Italy
| | - Conchi Moreno-Iribas
- CIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Navarra Public Health Institute, 31003 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Anja Olsen
- Danish Cancer Society Research Center, DK-2100 Copenhagen, Denmark
- Department of Public Health, Aarhus University, DK-8000 Aarhus, Denmark
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition, 14558 Nuthetal, Germany
| | - Anne Tjønneland
- Danish Cancer Society Research Center, DK-2100 Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, DK-1353 Copenhagen, Denmark
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France
| | - Anna Winkvist
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, University Hospital, Aarhus University and Aarhus, DK-8200 Aarhus N, Denmark
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14
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Eichelmann F, Sellem L, Wittenbecher C, Jäger S, Kuxhaus O, Prada M, Cuadrat R, Jackson KG, Lovegrove JA, Schulze MB. Deep Lipidomics in Human Plasma: Cardiometabolic Disease Risk and Effect of Dietary Fat Modulation. Circulation 2022; 146:21-35. [PMID: 35422138 PMCID: PMC9241667 DOI: 10.1161/circulationaha.121.056805] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND In blood and tissues, dietary and endogenously generated fatty acids (FAs) occur in free form or as part of complex lipid molecules that collectively represent the lipidome of the respective tissue. We assessed associations of plasma lipids derived from high-resolution lipidomics with incident cardiometabolic diseases and subsequently tested if the identified risk-associated lipids were sensitive to dietary fat modification. METHODS The EPIC Potsdam cohort study (European Prospective Investigation into Cancer and Nutrition) comprises 27 548 participants recruited within an age range of 35 to 65 years from the general population around Potsdam, Germany. We generated 2 disease-specific case cohorts on the basis of a fixed random subsample (n=1262) and all respective cohort-wide identified incident primary cardiovascular disease (composite of fatal and nonfatal myocardial infarction and stroke; n=551) and type 2 diabetes (n=775) cases. We estimated the associations of baseline plasma concentrations of 282 class-specific FA abundances (calculated from 940 distinct molecular species across 15 lipid classes) with the outcomes in multivariable-adjusted Cox models. We tested the effect of an isoenergetic dietary fat modification on risk-associated lipids in the DIVAS randomized controlled trial (Dietary Intervention and Vascular Function; n=113). Participants consumed either a diet rich in saturated FAs (control), monounsaturated FAs, or a mixture of monounsaturated and n-6 polyunsaturated FAs for 16 weeks. RESULTS Sixty-nine lipids associated (false discovery rate<0.05) with at least 1 outcome (both, 8; only cardiovascular disease, 49; only type 2 diabetes, 12). In brief, several monoacylglycerols and FA16:0 and FA18:0 in diacylglycerols were associated with both outcomes; cholesteryl esters, free fatty acids, and sphingolipids were largely cardiovascular disease specific; and several (glycero)phospholipids were type 2 diabetes specific. In addition, 19 risk-associated lipids were affected (false discovery rate<0.05) by the diets rich in unsaturated dietary FAs compared with the saturated fat diet (17 in a direction consistent with a potential beneficial effect on long-term cardiometabolic risk). For example, the monounsaturated FA-rich diet decreased diacylglycerol(FA16:0) by 0.4 (95% CI, 0.5-0.3) SD units and increased triacylglycerol(FA22:1) by 0.5 (95% CI, 0.4-0.7) SD units. CONCLUSIONS We identified several lipids associated with cardiometabolic disease risk. A subset was beneficially altered by a dietary fat intervention that supports the substitution of dietary saturated FAs with unsaturated FAs as a potential tool for primary disease prevention.
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Affiliation(s)
- Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.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, United Kingdom (L.S., K.G.J., J.A.L.)
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W.)
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.S.)
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.S.)
| | - Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.S.)
| | - Rafael Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.S.)
| | - 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, United Kingdom (L.S., K.G.J., J.A.L.)
| | - 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, United Kingdom (L.S., K.G.J., J.A.L.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (F.E., C.W., S.J., O.K., M.P., R.C., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg (F.E., S.J., O.K., M.P., R.C., M.B.S.).,Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
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15
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Robinson N, Casement J, Gunter MJ, Huybrechts I, Agudo A, Barranco MR, Eichelmann F, Johnson T, Kaaks R, Pala V, Panico S, Sandanger TM, Schultze MB, Travis RC, Tumino R, Vineis P, Weiderpass E, Skinner R, Sharp L, McKay JA, Strathdee G. Anti-cancer therapy is associated with long-term epigenomic changes in childhood cancer survivors. Br J Cancer 2022; 127:288-300. [PMID: 35354948 PMCID: PMC9296636 DOI: 10.1038/s41416-022-01792-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/24/2022] [Accepted: 03/11/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Childhood cancer survivors (CCS) exhibit significantly increased chronic diseases and premature death. Abnormalities in DNA methylation are associated with development of chronic diseases and reduced life expectancy. We investigated the hypothesis that anti-cancer treatments are associated with long-term DNA methylation changes that could be key drivers of adverse late health effects. METHODS Genome-wide DNA methylation was assessed using MethylationEPIC arrays in paired samples (before/after therapy) from 32 childhood cancer patients. Separately, methylation was determined in 32 samples from different adult CCS (mean 22-years post-diagnosis) and compared with cancer-free controls (n = 284). RESULTS Widespread DNA methylation changes were identified post-treatment in childhood cancer patients, including 146 differentially methylated regions (DMRs), which were consistently altered in the 32 post-treatment samples. Analysis of adult CCS identified matching methylation changes at 107/146 of the DMRs, suggesting potential long-term retention of post-therapy changes. Adult survivors also exhibited epigenetic age acceleration, independent of DMR methylation. Furthermore, altered methylation at the DUSP6 DMR was significantly associated with early mortality, suggesting altered methylation may be prognostic for some late adverse health effects in CCS. CONCLUSIONS These novel methylation changes could serve as biomarkers for assessing normal cell toxicity in ongoing treatments and predicting long-term health outcomes in CCS.
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Affiliation(s)
- Natassia Robinson
- Newcastle University Centre for Cancer, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John Casement
- Bioinformatic Support Unit, Newcastle University, Newcastle upon Tyne, UK
| | - Marc J Gunter
- Section of Nutrition and Metabolism, IARC, Lyon, France
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, Nutrition and Cancer Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08908, Spain
| | | | - Fabian Eichelmann
- German Institute of Human Nutrition Potsdam-Rehbrücke, Heidelberg, Germany
| | - Theron Johnson
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Valeria Pala
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | | | | | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Rosario Tumino
- Cancer Registry and Histopathology Department Azienda Sanitaria Provinciale (ASP), Ragusa, Italy
| | - Paolo Vineis
- MRC Centre for Environment and Health, Imperial College London, London, UK
| | | | - Roderick Skinner
- Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Paediatric and Adolescent Haematology/Oncology, Great North Children's Hospital, Newcastle, UK
| | - Linda Sharp
- Newcastle University Centre for Cancer, Population Health Sciences Institute, Newcastle upon Tyne, UK
| | - Jill A McKay
- Department of Applied Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Gordon Strathdee
- Newcastle University Centre for Cancer, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
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16
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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.
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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
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17
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Birukov A, Cuadrat R, Polemiti E, Eichelmann F, Schulze MB. Advanced glycation end-products, measured as skin autofluorescence, associate with vascular stiffness in diabetic, pre-diabetic and normoglycemic individuals: a cross-sectional study. Cardiovasc Diabetol 2021; 20:110. [PMID: 34176469 PMCID: PMC8236143 DOI: 10.1186/s12933-021-01296-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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: 02/04/2021] [Accepted: 05/03/2021] [Indexed: 02/06/2023] Open
Abstract
Background Advanced glycation end-products are proteins that become glycated after contact with sugars and are implicated in endothelial dysfunction and arterial stiffening. We aimed to investigate the relationships between advanced glycation end-products, measured as skin autofluorescence, and vascular stiffness in various glycemic strata. Methods We performed a cross-sectional analysis within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort, comprising n = 3535 participants (median age 67 years, 60% women). Advanced glycation end-products were measured as skin autofluorescence with AGE-Reader™, vascular stiffness was measured as pulse wave velocity, augmentation index and ankle-brachial index with Vascular Explorer™. A subset of 1348 participants underwent an oral glucose tolerance test. Participants were sub-phenotyped into normoglycemic, prediabetes and diabetes groups. Associations between skin autofluorescence and various indices of vascular stiffness were assessed by multivariable regression analyses and were adjusted for age, sex, measures of adiposity and lifestyle, blood pressure, prevalent conditions, medication use and blood biomarkers. Results Skin autofluorescence associated with pulse wave velocity, augmentation index and ankle-brachial index, adjusted beta coefficients (95% CI) per unit skin autofluorescence increase: 0.38 (0.21; 0.55) for carotid-femoral pulse wave velocity, 0.25 (0.14; 0.37) for aortic pulse wave velocity, 1.00 (0.29; 1.70) for aortic augmentation index, 4.12 (2.24; 6.00) for brachial augmentation index and − 0.04 (− 0.05; − 0.02) for ankle-brachial index. The associations were strongest in men, younger individuals and were consistent across all glycemic strata: for carotid-femoral pulse wave velocity 0.36 (0.12; 0.60) in normoglycemic, 0.33 (− 0.01; 0.67) in prediabetes and 0.45 (0.09; 0.80) in diabetes groups; with similar estimates for aortic pulse wave velocity. Augmentation index was associated with skin autofluorescence only in normoglycemic and diabetes groups. Ankle-brachial index inversely associated with skin autofluorescence across all sex, age and glycemic strata. Conclusions Our findings indicate that advanced glycation end-products measured as skin autofluorescence might be involved in vascular stiffening independent of age and other cardiometabolic risk factors not only in individuals with diabetes but also in normoglycemic and prediabetic conditions. Skin autofluorescence might prove as a rapid and non-invasive method for assessment of macrovascular disease progression across all glycemic strata. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01296-5.
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Affiliation(s)
- Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany. .,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
| | - Rafael Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Elli Polemiti
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany. .,German Center for Diabetes Research (DZD), München-Neuherberg, Germany. .,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
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18
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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.
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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.
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19
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Wittenbecher C, Eichelmann F, Toledo E, Guasch-Ferré M, Ruiz-Canela M, Li J, Arós F, Lee CH, Liang L, Salas-Salvadó J, Clish CB, Schulze MB, Martínez-González MÁ, Hu FB. Lipid Profiles and Heart Failure Risk: Results From Two Prospective Studies. Circ Res 2020; 128:309-320. [PMID: 33272114 DOI: 10.1161/circresaha.120.317883] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
RATIONALE Altered lipid metabolism has been implicated in heart failure (HF) development, but no prospective studies have examined comprehensive lipidomics data and subsequent risk of HF. OBJECTIVE We aimed to link single lipid metabolites and lipidomics networks to the risk of developing HF. METHODS AND RESULTS Discovery analyses were based on 216 targeted lipids in a case-control study (331 incident HF cases and 507 controls, matched by age, sex, and study center), nested within the PREDIMED (Prevención con Dieta Mediterránea) study. Associations of single lipids were examined in conditional logistic regression models. Furthermore, lipidomics networks were linked to HF risk in a multistep workflow, including machine learning-based identification of the HF-related network clusters, and regression-based discovery of the HF-related lipid patterns within these clusters. If available, significant findings were externally validated in a subsample of the EPIC-Potsdam cohort (2414 at-risk participants, including 87 incident HF cases). After confounder-adjustments, 2 lipids were significantly associated with HF risk in both cohorts: CER (ceramide) 16:0 (relative risk [RR] per SD in PREDIMED, 1.28 [95% CI, 1.13-1.47]) and phosphatidylcholine 32_0 (RR per SD in PREDIMED, 1.23 [95% CI, 1.08-1.41]). Additionally, lipid patterns in several network clusters were associated with HF risk in PREDIMED. Adjusted for standard risk factors, an internally cross-validated score based on the significant HF-related lipids that were identified in the network analysis in PREDIMED was associated with a higher HF risk (20 lipids, RR per SD, 2.33 [95% CI, 1.93%-2.81%). Moreover, a lipid score restricted to the externally available lipids was significantly associated with HF incidence in both cohorts (6 lipids, RRs per SD, 1.30 [95% CI, 1.14-1.47] in PREDIMED, and 1.46 [95% CI, 1.17-1.82] in EPIC-Potsdam). CONCLUSIONS Our study identified and validated 2 lipid metabolites and several lipidomics patterns as potential novel biomarkers of HF risk. Lipid profiling may capture preclinical molecular alterations that predispose for incident HF. Registration: URL: https://www.isrctn.com/ISRCTN35739639; Unique identifier: ISRCTN35739639.
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Affiliation(s)
- Clemens Wittenbecher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (C.W., F.E., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg, Germany (C.W., F.E., M.B.S.)
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (C.W., F.E., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg, Germany (C.W., F.E., M.B.S.)
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,IdiSNA (Instituto de investigación Sanitaria de Navarra), Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,CIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.)
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA (M.G.-F., F.B.H.)
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,IdiSNA (Instituto de investigación Sanitaria de Navarra), Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,CIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.)
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.)
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.).,Department of Cardiology, University Hospital of Alava, Vitoria, Spain (F.A.)
| | - Chih-Hao Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).,Department of Molecular Metabolism (C.-H.L.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Liming Liang
- Department of Epidemiology (L.L., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Biostatistics (L.L.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.).,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain (J.S.-S.).,Institut d'Investigació Sanitària Pere Virgili (IISPV), University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain (J.S.-S.)
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA (C.B.C.)
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (C.W., F.E., M.B.S.).,German Center for Diabetes Research (DZD), Neuherberg, Germany (C.W., F.E., M.B.S.).,Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
| | - Miguel Ángel Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).,Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,IdiSNA (Instituto de investigación Sanitaria de Navarra), Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).,CIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.)
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA (M.G.-F., F.B.H.).,Department of Epidemiology (L.L., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA
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20
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Birukov A, Eichelmann F, Kuxhaus O, Polemiti E, Fritsche A, Wirth J, Boeing H, Weikert C, Schulze MB. Opposing Associations of NT-proBNP With Risks of Diabetes and Diabetes-Related Complications. Diabetes Care 2020; 43:2930-2937. [PMID: 32816995 PMCID: PMC7770272 DOI: 10.2337/dc20-0553] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [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: 03/18/2020] [Accepted: 07/23/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Circulating N-terminal pro B-type natriuretic peptide (NT-proBNP) is a classic diagnostic and prognostic marker for heart failure. However, it is inversely associated with diabetes risk. We aimed to investigate relationships of NT-proBNP with risk of diabetes-related complications in initially healthy individuals. RESEARCH DESIGN AND METHODS We performed a case-cohort study within the European Prospective Investigation Into Cancer and Nutrition (EPIC)-Potsdam cohort including a random subcohort (n = 1,294) and incident cases of type 2 diabetes (n = 649) and cardiovascular diseases (n = 478). Incident cases of type 2 diabetes (n = 545) were followed up for microvascular (n = 133) and macrovascular (n = 50) complications. Plasma NT-proBNP was measured at baseline in initially healthy participants. RESULTS In multivariable models, NT-proBNP was linearly inversely associated with incident type 2 diabetes with a hazard ratio (HR) (95% CI) per doubling in NT-proBNP of 0.91 (0.86, 0.98). The association was only observable in women (0.80 [0.72, 0.90]) compared with men (0.98 [0.91, 1.07]). Among people with incident diabetes, NT-proBNP was positively associated with diabetes complications: overall, 1.31 (1.13, 1.53); microvascular complications, 1.20 (1.01, 1.43); and macrovascular complications, 1.37 (1.03, 1.83). CONCLUSIONS Although higher NT-proBNP levels are associated with lower diabetes risk, NT-proBNP is a biomarker for vascular complications in people who develop diabetes independent of potential confounders. Thus, NT-proBNP might be informative to monitor risk for diabetes-related microvascular and macrovascular complications, which should be further explored in future prospective studies.
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Affiliation(s)
- Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research, München-Neuherberg, Germany
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research, München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Elli Polemiti
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,German Center for Diabetes Research, München-Neuherberg, Germany
| | - Andreas Fritsche
- Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of Tübingen, Tübingen, Germany
| | - Janine Wirth
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Cornelia Weikert
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany .,German Center for Diabetes Research, München-Neuherberg, Germany.,Germany Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
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21
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Ouni M, Saussenthaler S, Eichelmann F, Jähnert M, Stadion M, Wittenbecher C, Rönn T, Zellner L, Gottmann P, Ling C, Schulze MB, Schürmann A. Epigenetic Changes in Islets of Langerhans Preceding the Onset of Diabetes. Diabetes 2020; 69:2503-2517. [PMID: 32816961 PMCID: PMC7576562 DOI: 10.2337/db20-0204] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 08/09/2020] [Indexed: 12/19/2022]
Abstract
The identification of individuals with a high risk of developing type 2 diabetes (T2D) is fundamental for prevention. Here, we used a translational approach and prediction criteria to identify changes in DNA methylation visible before the development of T2D. Islets of Langerhans were isolated from genetically identical 10-week-old female New Zealand Obese mice, which differ in their degree of hyperglycemia and in liver fat content. The application of a semiexplorative approach identified 497 differentially expressed and methylated genes (P = 6.42e-09, hypergeometric test) enriched in pathways linked to insulin secretion and extracellular matrix-receptor interaction. The comparison of mouse data with DNA methylation levels of incident T2D cases from the prospective European Prospective Investigation of Cancer (EPIC)-Potsdam cohort, revealed 105 genes with altered DNA methylation at 605 cytosine-phosphate-guanine (CpG) sites, which were associated with future T2D. AKAP13, TENM2, CTDSPL, PTPRN2, and PTPRS showed the strongest predictive potential (area under the receiver operating characteristic curve values 0.62-0.73). Among the new candidates identified in blood cells, 655 CpG sites, located in 99 genes, were differentially methylated in islets of humans with T2D. Using correction for multiple testing detected 236 genes with an altered DNA methylation in blood cells and 201 genes in diabetic islets. Thus, the introduced translational approach identified novel putative biomarkers for early pancreatic islet aberrations preceding T2D.
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Affiliation(s)
- Meriem Ouni
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Sophie Saussenthaler
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Fabian Eichelmann
- German Center for Diabetes Research, München-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
| | - Markus Jähnert
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Mandy Stadion
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Clemens Wittenbecher
- German Center for Diabetes Research, München-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Tina Rönn
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Lisa Zellner
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Pascal Gottmann
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Charlotte Ling
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Matthias B Schulze
- German Center for Diabetes Research, München-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Annette Schürmann
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Brandenburg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
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22
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Schenk M, Eichelmann F, Schulze MB, Rudovich N, Pfeiffer AF, di Giuseppe R, Boeing H, Aleksandrova K. Reproducibility of novel immune-inflammatory biomarkers over 4 months: an analysis with repeated measures design. Biomark Med 2019; 13:639-648. [PMID: 31157547 DOI: 10.2217/bmm-2018-0351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Aim: Assessment of the feasibility and reliability of immune-inflammatory biomarker measurements. Methods: The following biomarkers were assessed in 207 predominantly healthy participants at baseline and after 4 months: MMF, TGF-β, suPAR and clusterin. Results: Intraclass correlation coefficients (95% CIs) ranged from good for TGF-β (0.75 [95% CI: 0.33-0.90]) to excellent for MMF (0.81 [95% CI: 0.64-0.90]), clusterin (0.83 [95% CI: 0.78-0.87]) and suPAR (0.91 [95% CI: 0.88-0.93]). Measurement of TGF-β was challenged by the large number of values below the detection limit. Conclusion: Single measurements of suPAR, clusterin and MMF could serve as feasible and reliable biomarkers of immune-inflammatory pathways in biomedical research.
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Affiliation(s)
- Matthew Schenk
- Senior Scientist Group Nutrition, Immunity & Metabolism, Department of Nutrition & Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Fabian Eichelmann
- Senior Scientist Group Nutrition, Immunity & Metabolism, Department of Nutrition & Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,German Centre for Diabetes Research, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Natalia Rudovich
- German Centre for Diabetes Research, Germany.,Department of Clinical Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,Department of Endocrinology, Diabetes & Nutrition, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany.,Division of Endocrinology & Diabetes, Department of Internal Medicine, Spital Bülach, Bülach, Switzerland
| | - Andreas F Pfeiffer
- German Centre for Diabetes Research, Germany.,Department of Clinical Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,Department of Endocrinology, Diabetes & Nutrition, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
| | - Romina di Giuseppe
- Institute of Epidemiology, Christian-Albrechts University Kiel, Kiel, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Krasimira Aleksandrova
- Senior Scientist Group Nutrition, Immunity & Metabolism, Department of Nutrition & Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
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23
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Eichelmann F, Schulze MB, Wittenbecher C, Menzel J, Weikert C, di Giuseppe R, Biemann R, Isermann B, Fritsche A, Boeing H, Aleksandrova K. Association of Chemerin Plasma Concentration With Risk of Colorectal Cancer. JAMA Netw Open 2019; 2:e190896. [PMID: 30901045 PMCID: PMC6583278 DOI: 10.1001/jamanetworkopen.2019.0896] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE Inflammatory processes have been suggested to have an important role in colorectal cancer (CRC) etiology. Chemerin is a recently discovered inflammatory biomarker thought to exert chemotactic, adipogenic, and angiogenic functions. However, its potential link with CRC has not been sufficiently explored. OBJECTIVE To evaluate the prospective association of circulating plasma chemerin concentrations with incident CRC. DESIGN, SETTING, AND PARTICIPANTS Prospective case-cohort study based on 27 548 initially healthy participants from the European Prospective Investigation Into Cancer and Nutrition (EPIC)-Potsdam cohort who were followed for up to 16 years. Baseline study information and samples were collected between August 23, 1994, and September 25, 1998. Recruitment was according to random registry sampling from the geographical area of Potsdam, Germany, and surrounding municipalities. The last date of study follow-up was May 10, 2010. Statistical analysis was conducted in 2018. MAIN OUTCOMES AND MEASURES Incident CRC, colon cancer, and rectal cancer. Baseline chemerin plasma concentrations were measured by enzyme-linked immunosorbent assay. RESULTS A random subcohort of 221 incident CRC cases and 2329 participants free of CRC with available blood sample measurements were included in the analysis. The participants' mean (SD) age was 50 (9) years, 62.1% were female, and 16.5% had a body mass index greater than 30. In multivariable-adjusted Cox proportional hazards regression models taking into account established CRC risk factors, higher chemerin concentrations were associated with a greater risk of CRC, with a hazard ratio (HR) of 1.81 (95% CI, 1.08-3.05; P for trend = .007) for the highest chemerin quartile vs the lowest. Analyses by cancer subsite indicated a stronger association with colon cancer (HR, 2.27; 95% CI, 1.18-4.34 for the highest quartile vs the lowest; P for trend = .005) compared with rectal cancer (HR, 1.27; 95% CI, 0.57-2.85; P for trend = .35). The association was particularly strong for proximal colon cancer (HR, 3.97; 95% CI, 1.51-10.50; P for trend = .001). CONCLUSIONS AND RELEVANCE This study found that the association between chemerin concentration and the risk of incident CRC was linear and independent of established CRC risk factors. Further studies are warranted to evaluate chemerin as a novel immune-inflammatory agent in colorectal carcinogenesis.
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Affiliation(s)
- Fabian Eichelmann
- Senior Scientist Group Nutrition, Immunity and Metabolism, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
| | - Matthias B. Schulze
- German Centre for Cardiovascular Research (DZHK), Berlin, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Juliane Menzel
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Cornelia Weikert
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
- Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany
| | - Romina di Giuseppe
- Institute of Epidemiology, Christian Albrechts University Kiel, Kiel, Germany
| | - Ronald Biemann
- Department of Clinical Chemistry and Pathobiochemistry, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Berend Isermann
- Department of Clinical Chemistry and Pathobiochemistry, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of Tübingen, Tübingen, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
| | - Krasimira Aleksandrova
- Senior Scientist Group Nutrition, Immunity and Metabolism, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam–Rehbrücke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
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24
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Wirsching J, Graßmann S, Eichelmann F, Harms LM, Schenk M, Barth E, Berndzen A, Olalekan M, Sarmini L, Zuberer H, Aleksandrova K. Development and reliability assessment of a new quality appraisal tool for cross-sectional studies using biomarker data (BIOCROSS). BMC Med Res Methodol 2018; 18:122. [PMID: 30400827 PMCID: PMC6219097 DOI: 10.1186/s12874-018-0583-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 10/19/2018] [Indexed: 12/12/2022] Open
Abstract
Background Biomarker-based analyses are commonly reported in observational epidemiological studies; however currently there are no specific study quality assessment tools to assist evaluation of conducted research. Accounting for study design and biomarker measurement would be important for deriving valid conclusions when conducting systematic data evaluation. Methods We developed a study quality assessment tool designed specifically to assess biomarker-based cross-sectional studies (BIOCROSS) and evaluated its inter-rater reliability. The tool includes 10-items covering 5 domains: ‘Study rational’, ‘Design/Methods’, ‘Data analysis’, ‘Data interpretation’ and ‘Biomarker measurement’, aiming to assess different quality features of biomarker cross-sectional studies. To evaluate the inter-rater reliability, 30 studies were distributed among 5 raters and intraclass correlation coefficients (ICC-s) were derived from respective ratings. Results The estimated overall ICC between the 5 raters was 0.57 (95% Confidence Interval (CI): 0.38–0.74) indicating a good inter-rater reliability. The ICC-s ranged from 0.11 (95% CI: 0.01–0.27) for the domain ‘Study rational’ to 0.56 (95% CI: 0.40–0.72) for the domain ‘Data interpretation’. Conclusion BIOCROSS is a new study quality assessment tool suitable for evaluation of reporting quality from cross-sectional epidemiological studies employing biomarker data. The tool proved to be reliable for use by biomedical scientists with diverse backgrounds and could facilitate comprehensive review of biomarker studies in human research. Electronic supplementary material The online version of this article (10.1186/s12874-018-0583-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jan Wirsching
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Sophie Graßmann
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Fabian Eichelmann
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Laura Malin Harms
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Matthew Schenk
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Eva Barth
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
| | - Alide Berndzen
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Moses Olalekan
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Leen Sarmini
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Hedwig Zuberer
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany. .,University of Potsdam, Institute of Nutritional Science, Potsdam, Germany.
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25
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Graßmann S, Wirsching J, Eichelmann F, Aleksandrova K. Association Between Peripheral Adipokines and Inflammation Markers: A Systematic Review and Meta-Analysis. Obesity (Silver Spring) 2017; 25:1776-1785. [PMID: 28834421 DOI: 10.1002/oby.21945] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/21/2017] [Accepted: 06/22/2017] [Indexed: 01/13/2023]
Abstract
OBJECTIVE Obesity-induced inflammation potentially promotes a variety of chronic conditions. This study aimed to summarize cross-sectional associations between adipose tissue-derived hormones (leptin and adiponectin) and inflammatory biomarkers (C-reactive protein [CRP], interleukin [IL]-6, and tumor necrosis factor [TNF]-α) by means of meta-analysis. METHODS A systematic search of the databases EMBASE and MEDLINE (PubMed) up to January 2017 was conducted. Data were independently extracted and evaluated by two reviewers. Pooled effect sizes and 95% confidence intervals were calculated using random-effects models. RESULTS After the initial search, 5,907 publications were retrieved; of these, an overall 60 studies with 45,210 participants were deemed eligible for inclusion in the meta-analysis. Positive correlations with inflammatory biomarkers were observed for leptin (pooled Rho = 0.35, 0.20, and 0.20 for CRP, IL-6, and TNF-α, respectively), whereas the respective correlations with adiponectin were negative (pooled Rho = -0.18, -0.14, and -0.12 for CRP, IL-6, and TNF-α, respectively). Stratification by age showed that the observed correlations tended to be weaker with the increasing age of participants. No apparent differences were observed by sex and adiposity status. CONCLUSIONS This is the first quantitative synthesis of human studies on the association between circulating adipokines and inflammation biomarkers. Potential influence of age on these associations requires further evaluation.
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Affiliation(s)
- Sophie Graßmann
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Jan Wirsching
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Fabian Eichelmann
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
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26
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Schwingshackl L, Knüppel S, Schwedhelm C, Hoffmann G, Missbach B, Stelmach-Mardas M, Dietrich S, Eichelmann F, Kontopantelis E, Iqbal K, Aleksandrova K, Lorkowski S, Leitzmann MF, Kroke A, Boeing H. Reply to JJ Meerpohl et al. Adv Nutr 2017; 8:790-791. [PMID: 28916580 PMCID: PMC5593114 DOI: 10.3945/an.117.016469] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Affiliation(s)
- Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Carolina Schwedhelm
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Georg Hoffmann
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Benjamin Missbach
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Marta Stelmach-Mardas
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Stefan Dietrich
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Fabian Eichelmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Evangelos Kontopantelis
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Khalid Iqbal
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Krasimira Aleksandrova
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Stefan Lorkowski
- Institute of Nutrition, Friedrich Schiller University Jena, Jena, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Anja Kroke
- Department of Nutritional, Food and Consumer Sciences, University of Applied Sciences, Fulda, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
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27
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Graßmann S, Wirsching J, Eichelmann F, Aleksandrova K. Adipokines and Inflammation: A Systemaic Review and Meta-analysis. Das Gesundheitswesen 2017. [DOI: 10.1055/s-0037-1605941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- S Graßmann
- DIFE-Potsdam-Rehbrücke, Ernährung, Immunität und Metabolismus Start-up Lab, Nuthetal
| | - J Wirsching
- DIFE-Potsdam-Rehbrücke, Ernährung, Immunität und Metabolismus Start-up Lab, Nuthetal
| | - F Eichelmann
- DIFE-Potsdam-Rehbrücke, Ernährung, Immunität und Metabolismus Start-up Lab, Nuthetal
| | - K Aleksandrova
- DIFE-Potsdam-Rehbrücke, Ernährung, Immunität und Metabolismus Start-up Lab, Nuthetal
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Eichelmann F, Weikert C, di Giuseppe R, Biemann R, Isermann B, Schulze MB, Boeing H, Aleksandrova K. Methodological utility of chemerin as a novel biomarker of immunity and metabolism. Endocr Connect 2017; 6:340-347. [PMID: 28592510 PMCID: PMC5510453 DOI: 10.1530/ec-17-0098] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [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: 06/01/2017] [Accepted: 06/06/2017] [Indexed: 12/11/2022]
Abstract
Chemerin is a recently discovered adipokine with inflammatory and metabolic actions relevant for chronic disease development. However, evidence from human research on the role of chemerin in chronic disease risk is still lacking. We assessed the reliability of plasma chemerin concentrations measured on two occasions over a 4-month period in 207 apparently healthy participants. In addition, we explored the cross-sectional associations between chemerin and inflammatory biomarkers using Spearman partial correlation and multivariable linear regression analyses. Intra-individual reproducibility of chemerin measurements was assessed by calculating intraclass correlation coefficients (ICCs) and exploration of Bland-Altman plots. Reliability analyses revealed good reproducibility of chemerin measurements (ICC: 0.72 (95%-CI 0.65, 0.78)). Visual inspection of Bland-Altman plots confirmed that the two time point measurements had a high level of agreement. In correlation analyses, chemerin was positively correlated with adiposity measures (body mass index and waist circumference). In addition, independent of adiposity measures, chemerin was correlated with the biomarkers C-reactive protein, fatty acid-binding protein 4 and progranulin (Rho-s ranging from 0.23 to 0.37). In multivariable linear regression analysis, a combination of correlated factors including body mass index, waist circumference, C-reactive protein, progranulin and fatty acid-binding protein-4 explained 28.0% of chemerin concentrations. These findings demonstrate methodological utility of chemerin concentrations in population-based research setting. Human studies are highly warranted in order to provide further insights into the role of chemerin as a biomarker linking immunity and metabolism in relation to chronic disease risk.
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Affiliation(s)
- Fabian Eichelmann
- Department of EpidemiologyNutrition, Immunity and Metabolism Start-up Lab, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Cornelia Weikert
- Department of Food SafetyFederal Institute for Risk Assessment, Berlin, Germany
- Institute for Social MedicineEpidemiology and Health Economics, Charité University Medical Center, Berlin, Germany
| | - Romina di Giuseppe
- Institute of EpidemiologyChristian-Albrechts University Kiel, Kiel, Germany
| | - Ronald Biemann
- Department for Clinical Chemistry and PathobiochemistryOtto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Berend Isermann
- Department for Clinical Chemistry and PathobiochemistryOtto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Matthias B Schulze
- Department of Molecular EpidemiologyGerman Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- German Center of Diabetes Research (DZD)München-Neuherberg, Germany
| | - Heiner Boeing
- Department of EpidemiologyGerman Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Krasimira Aleksandrova
- Department of EpidemiologyNutrition, Immunity and Metabolism Start-up Lab, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
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29
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Keller M, Hopp L, Liu X, Wohland T, Rohde K, Cancello R, Klös M, Bacos K, Kern M, Eichelmann F, Dietrich A, Schön MR, Gärtner D, Lohmann T, Dreßler M, Stumvoll M, Kovacs P, DiBlasio AM, Ling C, Binder H, Blüher M, Böttcher Y. Genome-wide DNA promoter methylation and transcriptome analysis in human adipose tissue unravels novel candidate genes for obesity. Mol Metab 2016; 6:86-100. [PMID: 28123940 PMCID: PMC5220399 DOI: 10.1016/j.molmet.2016.11.003] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [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: 08/25/2016] [Revised: 11/03/2016] [Accepted: 11/10/2016] [Indexed: 02/04/2023] Open
Abstract
Objective/methods DNA methylation plays an important role in obesity and related metabolic complications. We examined genome-wide DNA promoter methylation along with mRNA profiles in paired samples of human subcutaneous adipose tissue (SAT) and omental visceral adipose tissue (OVAT) from non-obese vs. obese individuals. Results We identified negatively correlated methylation and expression of several obesity-associated genes in our discovery dataset and in silico replicated ETV6 in two independent cohorts. Further, we identified six adipose tissue depot-specific genes (HAND2, HOXC6, PPARG, SORBS2, CD36, and CLDN1). The effects were further supported in additional independent cohorts. Our top hits might play a role in adipogenesis and differentiation, obesity, lipid metabolism, and adipose tissue expandability. Finally, we show that in vitro methylation of SORBS2 directly represses gene expression. Conclusions Taken together, our data show distinct tissue specific epigenetic alterations which associate with obesity. Obesity-associated differences in DNA promoter methylation and transcriptome in human adipose tissue (ETV6). Depot-specific analyses revealed novel/known genes (HAND2, HOXC6, PPARG, SORBS2, CD36, CLDN1). EWAS revealed SSPN and CCDC125 associated to BMI in SAT or OVAT, respectively. Differentially methylated genes overlap in part with GWAS hits for obesity and fat distribution.
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Affiliation(s)
- Maria Keller
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Lydia Hopp
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, Leipzig, 04103, Germany
| | - Xuanshi Liu
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany; Bioinformatics Group, Department of Computer Science, University of Leipzig, 04107, Leipzig, Germany
| | - Tobias Wohland
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Kerstin Rohde
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Raffaella Cancello
- Molecular Biology Laboratory, Istituto Auxologico Italiano IRCCS, Milan, 20149, Italy
| | - Matthias Klös
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Karl Bacos
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, 205 02, Malmoe, Sweden
| | - Matthias Kern
- Department of Medicine, University of Leipzig, Leipzig, 04103, Germany
| | - Fabian Eichelmann
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Arne Dietrich
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany; Department of Surgery, University of Leipzig, Leipzig, 04103, Germany
| | - Michael R Schön
- Städtisches Klinikum Karlsruhe, Clinic of Visceral Surgery, Karlsruhe, 76133, Germany
| | - Daniel Gärtner
- Städtisches Klinikum Karlsruhe, Clinic of Visceral Surgery, Karlsruhe, 76133, Germany
| | - Tobias Lohmann
- Municipal Clinic Dresden-Neustadt, Dresden, 01129, Germany
| | - Miriam Dreßler
- Municipal Clinic Dresden-Neustadt, Dresden, 01129, Germany
| | - Michael Stumvoll
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany; Department of Medicine, University of Leipzig, Leipzig, 04103, Germany
| | - Peter Kovacs
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany
| | - Anna-Maria DiBlasio
- Molecular Biology Laboratory, Istituto Auxologico Italiano IRCCS, Milan, 20149, Italy
| | - Charlotte Ling
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, 205 02, Malmoe, Sweden
| | - Hans Binder
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, Leipzig, 04103, Germany
| | - Matthias Blüher
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany; Department of Medicine, University of Leipzig, Leipzig, 04103, Germany.
| | - Yvonne Böttcher
- IFB Adiposity Diseases, University of Leipzig, Leipzig, 04103, Germany.
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30
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Schwingshackl L, Knüppel S, Schwedhelm C, Hoffmann G, Missbach B, Stelmach-Mardas M, Dietrich S, Eichelmann F, Kontopanteils E, Iqbal K, Aleksandrova K, Lorkowski S, Leitzmann MF, Kroke A, Boeing H. Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research. Adv Nutr 2016; 7:994-1004. [PMID: 28140319 PMCID: PMC5105044 DOI: 10.3945/an.116.013052] [Citation(s) in RCA: 220] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The objective of this study was to develop a scoring system (NutriGrade) to evaluate the quality of evidence of randomized controlled trial (RCT) and cohort study meta-analyses in nutrition research, building upon previous tools and expert recommendations. NutriGrade aims to assess the meta-evidence of an association or effect between different nutrition factors and outcomes, taking into account nutrition research-specific requirements not considered by other tools. In a pretest study, 6 randomly selected meta-analyses investigating diet-disease relations were evaluated with NutriGrade by 5 independent raters. After revision, NutriGrade was applied by the same raters to 30 randomly selected meta-analyses in the same thematic area. The reliability of ratings of NutriGrade items was calculated with the use of a multirater κ, and reliability of the total (summed scores) was calculated with the use of intraclass correlation coefficients (ICCs). The following categories for meta-evidence evaluation were established: high (8-10), moderate (6-7.99), low (4-5.99), and very low (0-3.99). The NutriGrade scoring system (maximum of 10 points) comprises the following items: 1) risk of bias, study quality, and study limitations, 2) precision, 3) heterogeneity, 4) directness, 5) publication bias, 6) funding bias, 7) study design, 8) effect size, and 9) dose-response. The NutriGrade score varied between 2.9 (very low meta-evidence) and 8.8 (high meta-evidence) for meta-analyses of RCTs, and it ranged between 3.1 and 8.8 for meta-analyses of cohort studies. The κ value of the ratings for each scoring item varied from 0.32 (95% CI: 0.22, 0.42) for risk of bias for cohort studies and 0.95 (95% CI: 0.91, 0.99) for study design, with a mean κ of 0.66 (95% CI: 0.53, 0.79). The ICC of the total score was 0.81 (95% CI: 0.69, 0.90). The NutriGrade scoring system showed good agreement and reliability. The initial findings regarding the performance of this newly established scoring system need further evaluation in independent analyses.
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Affiliation(s)
- Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany;
| | - Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Carolina Schwedhelm
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Georg Hoffmann
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Benjamin Missbach
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Marta Stelmach-Mardas
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany;,Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Stefan Dietrich
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Fabian Eichelmann
- Nutrition, Immunity, and Metabolism Start-Up Lab,,Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Evangelos Kontopanteils
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Khalid Iqbal
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Krasimira Aleksandrova
- Nutrition, Immunity, and Metabolism Start-Up Lab,,Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Stefan Lorkowski
- Institute of Nutrition, Friedrich Schiller University Jena, Jena, Germany;,Competence Cluster of Nutrition and Cardiovascular Health, Halle-Jena-Leipzig, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany; and
| | - Anja Kroke
- Department of Nutritional, Food, and Consumer Sciences, University of Applied Sciences, Fulda, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
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31
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Schwingshackl L, Knüppel S, Schwedhelm C, Hoffmann G, Missbach B, Stelmach-Mardas M, Dietrich S, Eichelmann F, Kontopantelis E, Iqbal K, Aleksandrova K, Lorkowski S, Leitzmann MF, Kroke A, Boeing H. Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research. Adv Nutr 2016; 7:994-1004. [PMID: 28140319 DOI: 10.3945/an.116.013052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023] Open
Abstract
The objective of this study was to develop a scoring system (NutriGrade) to evaluate the quality of evidence of randomized controlled trial (RCT) and cohort study meta-analyses in nutrition research, building upon previous tools and expert recommendations. NutriGrade aims to assess the meta-evidence of an association or effect between different nutrition factors and outcomes, taking into account nutrition research-specific requirements not considered by other tools. In a pretest study, 6 randomly selected meta-analyses investigating diet-disease relations were evaluated with NutriGrade by 5 independent raters. After revision, NutriGrade was applied by the same raters to 30 randomly selected meta-analyses in the same thematic area. The reliability of ratings of NutriGrade items was calculated with the use of a multirater κ, and reliability of the total (summed scores) was calculated with the use of intraclass correlation coefficients (ICCs). The following categories for meta-evidence evaluation were established: high (8-10), moderate (6-7.99), low (4-5.99), and very low (0-3.99). The NutriGrade scoring system (maximum of 10 points) comprises the following items: 1) risk of bias, study quality, and study limitations, 2) precision, 3) heterogeneity, 4) directness, 5) publication bias, 6) funding bias, 7) study design, 8) effect size, and 9) dose-response. The NutriGrade score varied between 2.9 (very low meta-evidence) and 8.8 (high meta-evidence) for meta-analyses of RCTs, and it ranged between 3.1 and 8.8 for meta-analyses of cohort studies. The κ value of the ratings for each scoring item varied from 0.32 (95% CI: 0.22, 0.42) for risk of bias for cohort studies and 0.95 (95% CI: 0.91, 0.99) for study design, with a mean κ of 0.66 (95% CI: 0.53, 0.79). The ICC of the total score was 0.81 (95% CI: 0.69, 0.90). The NutriGrade scoring system showed good agreement and reliability. The initial findings regarding the performance of this newly established scoring system need further evaluation in independent analyses.
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Affiliation(s)
- Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany;
| | - Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Carolina Schwedhelm
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Georg Hoffmann
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Benjamin Missbach
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Marta Stelmach-Mardas
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Stefan Dietrich
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Fabian Eichelmann
- Nutrition, Immunity, and Metabolism Start-Up Lab
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Evangelos Kontopantelis
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Khalid Iqbal
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Krasimira Aleksandrova
- Nutrition, Immunity, and Metabolism Start-Up Lab
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Stefan Lorkowski
- Institute of Nutrition, Friedrich Schiller University Jena, Jena, Germany
- Competence Cluster of Nutrition and Cardiovascular Health, Halle-Jena-Leipzig, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany; and
| | - Anja Kroke
- Department of Nutritional, Food, and Consumer Sciences, University of Applied Sciences, Fulda, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
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32
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Eichelmann F, Schwingshackl L, Fedirko V, Aleksandrova K. Effect of plant-based diets on obesity-related inflammatory profiles: a systematic review and meta-analysis of intervention trials. Obes Rev 2016; 17:1067-1079. [PMID: 27405372 DOI: 10.1111/obr.12439] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Revised: 05/11/2016] [Accepted: 05/23/2016] [Indexed: 12/24/2022]
Abstract
Plant-based dietary interventions have been proposed to reduce obesity induced chronic low-grade inflammation and hence prevent chronic disease risk; however, human evidence remains unclear. This systematic review and meta-analysis of intervention trials aimed to assess the effect of plant-based diets on obesity-related inflammatory biomarker profiles. Medline, EMBASE and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for articles published until January 2016 and mean differences in biomarkers of inflammatory status were assessed for: C-reactive protein (CRP), interleukin-6 (IL-6), tumour necrosis factor-alpha (TNF-ɑ), soluble intercellular adhesion molecule 1 (sICAM), leptin, adiponectin and resistin. Of initially identified 2,583 publications, 29 met the meta-analysis inclusion criteria [a total of 2,689 participants]. Consumption of plant-based diets was associated with a reduction in the mean concentrations of the following biomarkers: CRP [effect size, -0.55 mg/l, 95% confidence intervals (CI): -0.78; -0.32, I2 = 94.4%], IL-6 [effect size, -0.25 ng/l, 95% CI: -0.56; 0.06, I2 = 74%], and, to some degree, sICAM (-25.07 ng/ml [95% CI: -52.32; 2.17, I2 = 93.2%]). No substantial effects were revealed for TNF-ɑ, resistin, adiponectin and leptin. Plant-based diets are associated with an improvement in obesity-related inflammatory profiles and could provide means for therapy and prevention of chronic disease risk.
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Affiliation(s)
- F Eichelmann
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - L Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - V Fedirko
- Department of Epidemiology, Rollins School of Public Health, Winship Cancer Institute, Emory University, USA
| | - K Aleksandrova
- Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
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33
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Rohde K, Keller M, Horstmann A, Liu X, Eichelmann F, Stumvoll M, Villringer A, Kovacs P, Tönjes A, Böttcher Y. Role of genetic variants in ADIPOQ in human eating behavior. Genes Nutr 2014; 10:449. [PMID: 25542302 DOI: 10.1007/s12263-014-0449-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 11/29/2014] [Indexed: 12/12/2022]
Abstract
The beneficial effects of adiponectin and its negative correlation with BMI are well described. Adiponectin serum levels are altered in eating disorders such as anorexia nervosa, bulimia nervosa or binge eating. Here, we tested the hypothesis that (1) adiponectin serum levels correlate with human eating behavior factors and (2) that genetic variants of the ADIPOQ locus influence both serum levels and eating behavior. We analyzed 11 SNPs within ADIPOQ and in the 5' UTR and measured serum adiponectin levels in 1,036 individuals from the German Sorbs population. The German version of the three-factor eating questionnaire (FEV) was completed by 548 Sorbs. For replication purposes, we included an independent replication cohort from Germany (N = 350). In the Sorbs, we observed positive correlations of restraint with adiponectin serum levels (P = 0.001; r = 0.148) which, however, did not withstand adjustment for covariates (P = 0.083; r = 0.077). In addition, four SNPs were nominally associated with serum adiponectin levels (all P < 0.05). Of these, two variants (rs3774261; rs1501229, all P < 0.05) were also related to disinhibition. Furthermore, three variants were exclusively associated with hunger (rs2036373, P = 0.049) and disinhibition (rs822396; rs864265, all P < 0.05). However, none of these associations withstood Bonferroni corrections for multiple testing (all P > 9.3 × 10(-4)). In our replication cohort, we observed similar effect directions at rs1501229 for disinhibition and hunger. A meta-analysis resulted in nominal statistical significance P = 0.036 (Z score 2.086) and P = 0.017 (Z score 2.366), respectively. Given the observed relationship of the SNPs with adiponectin levels and eating behavior, our data support a potential role of adiponectin in human eating behavior. Whether the relationship with eating behavior is mediated by the effects of circulating adiponectin warrants further investigations.
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Affiliation(s)
- Kerstin Rohde
- IFB Adiposity Diseases, University of Leipzig, Liebigstraße 21, 04103, Leipzig, Germany,
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