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Shugaa Addin N, Niedermayer F, Thorand B, Linseisen J, Seissler J, Peters A, Rospleszcz S. Association of serum magnesium with metabolic syndrome and the role of chronic kidney disease: A population-based cohort study with Mendelian randomization. Diabetes Obes Metab 2024; 26:1808-1820. [PMID: 38361465 DOI: 10.1111/dom.15497] [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: 11/13/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 02/17/2024]
Abstract
OBJECTIVES To assess the association of serum magnesium with prevalent and incident metabolic syndrome (MetS) and its individual components in the general population and to examine any effect modification by chronic kidney disease (CKD) status. METHODS We analysed longitudinal data from the population-based KORA F4/FF4 study, including 2996 participants (387 with CKD) for cross-sectional analysis and 1446 participants (88 with CKD) for longitudinal analysis. Associations with MetS, as well as single components of MetS, were assessed by adjusted regression models. Nonlinearity was tested by restricted cubic splines and analyses were stratified by CKD. Causality was evaluated by two-sample Mendelian randomization (MR). RESULTS Serum magnesium (1 SD) was inversely associated with prevalent MetS (odds ratio [OR] 0.90, 95% confidence interval [CI] 0.83, 0.98). The association was more pronounced in individuals with CKD (OR 0.75, 95% CI 0.59, 0.94). Among MetS components, serum magnesium was negatively associated with elevated fasting glucose (OR 0.78, 95% CI 0.71, 0.88) and, again, this association was more pronounced in individuals with CKD (OR 0.67, 95% CI 0.53, 0.84). Serum magnesium was not associated with incident MetS or its components. Restricted cubic spline analysis revealed a significant nonlinear inverse relationship of serum magnesium with MetS and elevated fasting glucose. MR analysis suggested an inverse causal effect of serum magnesium on MetS (OR 0.91, 95% CI 0.85, 0.97). CONCLUSION Serum magnesium is associated with prevalent, but not incident MetS, and this effect is stronger in individuals with CKD. MR analysis implies a potential, albeit weak, causal role of magnesium in MetS.
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Affiliation(s)
- Nuha Shugaa Addin
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
| | - Fiona Niedermayer
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
- Partner Site München-Neuherberg, German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Jochen Seissler
- Partner Site München-Neuherberg, German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Diabetes Research Group, LMU-Klinikum; Medizinische Klinik und Poliklinik IV, München, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
- Partner Site München-Neuherberg, German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK e.V.), Munich Heart Alliance, München, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
- German Centre for Cardiovascular Research (DZHK e.V.), Munich Heart Alliance, München, Germany
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Kirchberger I, Meisinger C, Warm TD, Hyhlik-Dürr A, Linseisen J, Goßlau Y. Longitudinal course and predictors of health-related quality of life, mental health, and fatigue, in non-hospitalized individuals with or without post COVID-19 syndrome. Health Qual Life Outcomes 2024; 22:32. [PMID: 38616282 PMCID: PMC11017651 DOI: 10.1186/s12955-024-02245-y] [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: 07/31/2023] [Accepted: 03/22/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Long-term information on health-related quality of life (HRQOL) and mental health of non-hospitalized individuals with "post COVID-19 syndrome" (PCS) is scarce. Thus, the objectives of the present study were to compare HRQOL and mental health of individuals with and without PCS in a German sample of non-hospitalized persons after SARS-CoV-2 infection, to characterize the long-term course up to 2 years and to identify predictors for post COVID-19 impairments. METHODS Individuals with past SARS-CoV-2 infection were examined at the University Hospital of Augsburg from November 2020 to May 2021 and completed a postal questionnaire between June and November 2022. Participants who self-reported the presence of fatigue, dyspnea on exertion, memory problems or concentration problems were classified as having PCS. HRQOL was assessed using the Veterans RAND 12-Item Health Survey, mental health was measured by the Patient Health Questionnaire and the Fatigue Asessment Scale was used to assess fatigue severity. Multivariable linear regression models with inverse probability weighting were used to determine the association between PCS and health outcomes. RESULTS From the 304 participants (58.2% women, median age 52 years), 210 (69.1%) were classified as having PCS in median 26 months after SARS-CoV-2 infection. Persons with PCS showed significantly more often depressive and anxiety disorders. PCS was independently and significantly associated with higher levels of depression, post-traumatic stress and fatigue, as well as poorer physical and mental HRQOL in median 9 months as well as 26 months after SARS-CoV-2 infection. A large number of acute symptoms and a prior diagnosis of depression were independently associated with poor mental health and HRQOL. While post-traumatic stress and mental HRQOL improved from 9 months to 26 months post infection onset, depressiveness, fatigue and physical HRQOL remained stable in both, persons with and without PCS. CONCLUSIONS PCS in non-hospitalized persons after SARS-CoV-2 infection is often associated with long-term impairments of mental health and HRQOL outcomes.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany.
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany
| | - Tobias D Warm
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | | | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Augsburg, Germany
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Schepp M, Freuer D, Wawro N, Peters A, Heier M, Teupser D, Meisinger C, Linseisen J. Association of the habitual dietary intake with the fatty liver index and effect modification by metabotypes in the population-based KORA-Fit study. Lipids Health Dis 2024; 23:99. [PMID: 38575962 PMCID: PMC10993479 DOI: 10.1186/s12944-024-02094-0] [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: 02/26/2024] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is an emerging threat for public health with diet being a major risk factor in disease development and progression. However, the effects of habitual food consumption on fatty liver are still inconclusive as well as the proposed role of the individuals' metabolic profiles. Therefore, the aim of our study is to examine the associations between diet and NAFLD with an emphasis on the influence of specific metabotypes in the general population. METHODS A total of 689 participants (304 men and 385 women) of the KORA-Fit (S4) survey, a follow-up study of the population-based KORA cohort study running in the Region of Augsburg, Germany, were included in this analysis. Dietary information was derived from repeated 24-h food lists and a food frequency questionnaire. The intake of energy and energy-providing nutrients were calculated using the national food composition database. The presence of fatty liver was quantified by the fatty liver index (FLI), and metabotypes were calculated using K-means clustering. Multivariable linear regression models were used for the analysis of habitual food groups and FLI; for the evaluation of macronutrients, energy substitution models were applied. RESULTS A higher consumption of nuts and whole grains, and a better diet quality (according to Alternate Healthy Eating Index and Mediterranean Diet Score) were associated with lower FLI values, while the intake of soft drinks, meat, fish and eggs were associated with a higher FLI. The isocaloric substitution of carbohydrates with polyunsaturated fatty acids was associated with a decreased FLI, while substitution with monounsaturated fatty acids and protein showed increased FLI. Statistically significant interactions with the metabotype were observed for most food groups. CONCLUSION The consumption of plant-based food groups, including nuts and whole grains, and diet quality, were associated with lower FLI values, whereas the intake of soft drinks and products of animal origin (meat, fish, eggs) were associated with a higher FLI. The observed statistically significant interactions with the metabotype for most food groups could help to develop targeted prevention strategies on a population-based level if confirmed in independent prospective studies.
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Affiliation(s)
- M Schepp
- University of Augsburg, University Hospital Augsburg, EpidemiologyAugsburg, Germany.
| | - D Freuer
- University of Augsburg, University Hospital Augsburg, EpidemiologyAugsburg, Germany
| | - N Wawro
- University of Augsburg, University Hospital Augsburg, EpidemiologyAugsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - A Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - M Heier
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - D Teupser
- Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany
| | - C Meisinger
- University of Augsburg, University Hospital Augsburg, EpidemiologyAugsburg, Germany
| | - J Linseisen
- University of Augsburg, University Hospital Augsburg, EpidemiologyAugsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
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Schmitz T, Freuer D, Goßlau Y, Warm TD, Hyhlik-Dürr A, Linseisen J, Meisinger C, Kirchberger I. Can inflammatory plasma proteins predict Long COVID or Fatigue severity after SARS-CoV-2 infection? Virus Res 2024; 344:199363. [PMID: 38508399 PMCID: PMC10979265 DOI: 10.1016/j.virusres.2024.199363] [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: 11/27/2023] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE To investigate whether specific immune response plasma proteins can predict an elevated risk of developing Long COVID symptoms or fatigue severity after SARS-CoV-2 infection. METHODS This study was based on 257 outpatients with test-confirmed SARS-CoV-2 infection between February 2020 and January 2021. At least 12 weeks after the acute infection, 92 plasma proteins were measured using the Olink Target 96 immune response panel (median time between acute infection and venous blood sampling was 38.8 [IQR: 24.0-48.0] weeks). The presence of Long COVID symptoms and fatigue severity was assessed 115.8 [92.5-118.6] weeks after the acute infection by a follow-up postal survey. Long COVID (yes/no) was defined as having one or more of the following symptoms: fatigue, shortness of breath, concentration or memory problems. The severity of fatigue was assessed using the Fatigue Assessment Scale (FAS). In multivariable-adjusted logistic and linear regression models the associations between each plasma protein (exposure) and Long COVID (yes/no) or severity of fatigue were investigated. RESULTS Nine plasma proteins were significantly associated with Long COVID before, but not after adjusting for multiple testing (FDR-adjustment): DFFA, TRIM5, TRIM21, HEXIM1, SRPK2, PRDX5, PIK3AP1, IFNLR1 and HCLS1. Moreover, a total of 10 proteins were significantly associated with severity of fatigue before FDR-adjustment: SRPK2, ITGA6, CLEC4G, HEXIM1, PPP1R9B, PLXNA4, PRDX5, DAPP1, STC1 and HCLS1. Only SRPK2 and ITGA6 remained significantly associated after FDR-adjustment. CONCLUSIONS This study demonstrates that certain immune response plasma proteins might play an important role in the pathophysiology of Long COVID and severity of fatigue after SARS-CoV-2 infection.
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Affiliation(s)
- Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
| | - Dennis Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Tobias Dominik Warm
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Alexander Hyhlik-Dürr
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Inge Kirchberger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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Lange de Luna J, Nounu A, Neumeyer S, Sinke L, Wilson R, Hellbach F, Matías-García PR, Delerue T, Winkelmann J, Peters A, Thorand B, Beekman M, Heijmans BT, Slagboom E, Gieger C, Linseisen J, Waldenberger M. Epigenome-wide association study of dietary fatty acid intake. Clin Epigenetics 2024; 16:29. [PMID: 38365790 PMCID: PMC10874013 DOI: 10.1186/s13148-024-01643-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 02/09/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Dietary intake of n-3 polyunsaturated fatty acids (PUFA) may have a protective effect on the development of cardiovascular diseases, diabetes, depression and cancer, while a high intake of n-6 PUFA was often reported to be associated with inflammation-related traits. The effect of PUFAs on health outcomes might be mediated by DNA methylation (DNAm). The aim of our study is to identify the impact of PUFA intake on DNAm in the Cooperative Health Research in the Region of Augsburg (KORA) FF4 cohort and the Leiden Longevity Study (LLS). RESULTS DNA methylation levels were measured in whole blood from the population-based KORA FF4 study (N = 1354) and LLS (N = 448), using the Illumina MethylationEPIC BeadChip and Illumina HumanMethylation450 array, respectively. We assessed associations between DNAm and intake of eight and four PUFAs in KORA and LLS, respectively. Where possible, results were meta-analyzed. Below the Bonferroni correction threshold (p < 7.17 × 10-8), we identified two differentially methylated positions (DMPs) associated with PUFA intake in the KORA study. The DMP cg19937480, annotated to gene PRDX1, was positively associated with docosahexaenoic acid (DHA) in model 1 (beta: 2.00 × 10-5, 95%CI: 1.28 × 10-5-2.73 × 10-5, P value: 6.98 × 10-8), while cg05041783, annotated to gene MARK2, was positively associated with docosapentaenoic acid (DPA) in our fully adjusted model (beta: 9.80 × 10-5, 95%CI: 6.25 × 10-5-1.33 × 10-4, P value: 6.75 × 10-8). In the meta-analysis, we identified the CpG site (cg15951061), annotated to gene CDCA7L below Bonferroni correction (1.23 × 10-7) associated with eicosapentaenoic acid (EPA) intake in model 1 (beta: 2.00 × 10-5, 95% CI: 1.27 × 10-5-2.73 × 10-5, P value = 5.99 × 10-8) and we confirmed the association of cg19937480 with DHA in both models 1 and 2 (beta: 2.07 × 10-5, 95% CI: 1.31 × 10-5-2.83 × 10-5, P value = 1.00 × 10-7 and beta: 2.19 × 10-5, 95% CI: 1.41 × 10-5-2.97 × 10-5, P value = 5.91 × 10-8 respectively). CONCLUSIONS Our study identified three CpG sites associated with PUFA intake. The mechanisms of these sites remain largely unexplored, highlighting the novelty of our findings. Further research is essential to understand the links between CpG site methylation and PUFA outcomes.
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Affiliation(s)
- Julia Lange de Luna
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 80539, Munich, Germany
| | - Aayah Nounu
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Sonja Neumeyer
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Fabian Hellbach
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 80539, Munich, Germany
| | - Pamela R Matías-García
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Klinikum Rechts Der Isar, Chair Neurogenetics, Technical University of Munich, Munich, Germany
- Klinikum Rechts Der Isar, Institute of Human Genetics, Technical University of Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 80539, Munich, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 80539, Munich, Germany
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 80539, Munich, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
- Institute of Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany.
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Kirchberger I, Fischer S, Raake P, Linseisen J, Meisinger C, Schmitz T. Depression mediates the association between health literacy and health-related quality of life after myocardial infarction. Front Psychiatry 2024; 15:1341392. [PMID: 38419900 PMCID: PMC10899501 DOI: 10.3389/fpsyt.2024.1341392] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction So far, health literacy (HL) and its related factors in patients with acute myocardial infarction received little attention. Thus, the objective of this study was to investigate the associations between the different dimensions of HL and disease-specific health-related quality of life (HRQOL), and factors that may affect these relations in patients after acute myocardial infarction (AMI). Methods All survivors of AMI between June 2020 and September 2021, from the Myocardial Infarction Registry Augsburg (n=882) received a postal questionnaire on HL [Health Literacy Questionnaire (HLQ)], HRQOL (MacNew Heart Disease HRQOL questionnaire) and depression (Patient Health Questionnaire). From the 592 respondents, 546 could be included in the analysis. Multivariable linear regression models were performed to investigate the associations between the nine subscales of the HLQ and the total score and three subscales of the MacNew questionnaire. A mediation analysis was performed to estimate direct and indirect effects of HL on HRQOL taking into account the mediating effect of depression. Results In the sample of 546 patients (72.5% male, mean age 68.5 ± 12.2 years), patients with poor education showed significantly lower HLQ scores. Significant associations between the subscales of the HLQ and the MacNew were found, which remained significant after adjustment for sociodemographic variables with few exceptions. More than 50% of the association between HL and HRQOL was mediated by depression in seven HLQ subscales and a complete mediating effect was found for the HLQ subscales 'Actively managing my health' and 'Appraisal of health information'. Discussion Depression mediates the associations between HL and disease-specific HRQOL in patients with myocardial infarction.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Simone Fischer
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Philip Raake
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Timo Schmitz
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
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Rohm F, Kling E, Hoffmann R, Meisinger C, Linseisen J. Prevalence of a large panel of systemic autoantibodies in the Bavarian adult population. Front Immunol 2024; 15:1355905. [PMID: 38390318 PMCID: PMC10881743 DOI: 10.3389/fimmu.2024.1355905] [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: 12/14/2023] [Accepted: 01/24/2024] [Indexed: 02/24/2024] Open
Abstract
Objective Autoimmune diseases commonly feature the presence of specific humoral autoantibodies. However, the prevalence of a large panel of systemic autoantibodies has never been assessed in the general population. We, therefore, described the prevalence of about 50 humoral systemic autoantibodies in a sample of the general Bavarian adult population. Methods Non-fasting venous serum samples from 331 participants were analyzed for 7 autoantibody screening tests (nuclear, cytoplasmic, and mitotic ANA, ANCA, cANCA and pANCA, anti-ENA autoantibodies) and 44 different monospecific humoral non-organ specific/systemic autoantibodies using indirect immunofluorescence tests, ELISAs, and line blots. In order to assess associations between sex, age, BMI, education level, smoking status and the presence of systemic autoantibodies, logistic regression analyses were conducted. Results At least one screening test was positive in 29.9% of the participants, and 42.3% of the participants were seropositive for at least one monospecific autoantibody. The most frequently found monospecific autoantibodies were rheumatoid factor (35.6%), ß2-glycoprotein 1 IgM (4.8%), and cardiolipin IgG (1.8%). Only few associations between sex, age, BMI, education, smoking status and autoantibody frequencies were observed. Conclusion Systemic autoantibodies are common in the general Bavarian population, and largely independent of sex, age, BMI, education, or smoking status. The study results may give orientation to clinicians about the occurrence of autoantibodies in the population, not (yet) associated with clinical symptoms.
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Affiliation(s)
- Florian Rohm
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Elisabeth Kling
- Institute for Laboratory Medicine and Microbiology, University Hospital Augsburg, Augsburg, Germany
| | - Reinhard Hoffmann
- Institute for Laboratory Medicine and Microbiology, University Hospital Augsburg, Augsburg, Germany
| | | | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, München, Germany
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Schepp M, Freuer D, Peters A, Heier M, Teupser D, Meisinger C, Linseisen J. Is the Habitual Dietary Intake of Foods of Plant or Animal Origin Associated with Circulating Hemostatic Factors?-Results of the Population-Based KORA-Fit Study. Nutrients 2024; 16:432. [PMID: 38337715 PMCID: PMC10857183 DOI: 10.3390/nu16030432] [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: 01/04/2024] [Revised: 01/26/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Blood coagulation is a complex physiological process critical for maintaining hemostasis, and disruptions in this system can lead to various health complications. Since the effects of specific food groups on a series of circulating coagulation parameters in the population are not well established, this study examines such associations in the population-based KORA-Fit study. A total of 595 subjects (263 men and 332 women) born between 1945 and 1964 and living in the study region of Augsburg were included in the study. Habitual food intake was estimated based on a combination of repeated 24-h food lists (24HFLs) and a food frequency questionnaire (FFQ). Antithrombin III, D-dimers, factor VIII, fibrinogen, protein C, protein S, aPTT, Quick value and INR were measured in citrate plasma. Multivariable linear regression models were applied to investigate associations between the consumption of specific foods of plant or animal origin and hemostatic factors. We found that the consumption of plant-based food groups, including green leafy vegetables (rich in vitamin K1), were hardly associated with coagulation parameters. Surprisingly, a high consumption of dairy products and especially butter were associated with higher D-dimer concentrations. These findings need further evaluation in prospective studies.
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Affiliation(s)
- Michael Schepp
- Epidemiology, University Hospital Augsburg, University of Augsburg, 86156 Augsburg, Germany; (D.F.); (C.M.); (J.L.)
| | - Dennis Freuer
- Epidemiology, University Hospital Augsburg, University of Augsburg, 86156 Augsburg, Germany; (D.F.); (C.M.); (J.L.)
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; (A.P.); (M.H.)
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; (A.P.); (M.H.)
- KORA Study Centre, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Daniel Teupser
- Institute of Laboratory Medicine, Medical Faculty, Ludwig-Maximilians-Universität München, 81377 Munich, Germany;
| | - Christine Meisinger
- Epidemiology, University Hospital Augsburg, University of Augsburg, 86156 Augsburg, Germany; (D.F.); (C.M.); (J.L.)
| | - Jakob Linseisen
- Epidemiology, University Hospital Augsburg, University of Augsburg, 86156 Augsburg, Germany; (D.F.); (C.M.); (J.L.)
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9
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Schmitz T, Harmel E, Raake P P, Freuer D, Kirchberger I, Heier M, Peters A, Linseisen J, Meisinger C. Association between acute myocardial infarction symptoms and short- and long-term mortality after the event. Can J Cardiol 2024:S0828-282X(24)00067-9. [PMID: 38278322 DOI: 10.1016/j.cjca.2024.01.019] [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: 05/03/2023] [Revised: 01/03/2024] [Accepted: 01/15/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND In this study we investigated the associations between various acute myocardial infarction (AMI) symptoms and their associations with short-term (28 day) - and long-term mortality. METHODS The analysis was based on 5,900 patients aged 25 to 84 years with a first-time AMI recorded by the population-based Myocardial Infarction Registry Augsburg between 2010 and 2017. Median follow-up time was 3.8 years [IQR: 1.1-6.3]. As part of a face-to-face interview, the presence (yes/no) of 11 most commonly AMI symptoms at the acute event was assessed. Using multivariable-adjusted logistic regression and COX regression models the association between various symptoms and all-cause mortality was investigated. P values of the regression models were FDR-adjusted. RESULTS Pain in various body parts (chest pain, left and right shoulder/arm/hand, between shoulder blades), sweating, nausea/vomiting, dizziness and fear of death/feeling of annihilation were significantly associated with a decreased 28-day mortality after AMI. The pain symptoms and sweating were also significantly associated with a decreased long-term mortality. Shortness of breath was significantly associated with a higher long-term mortality. CONCLUSIONS The absence of several symptoms, including typical chest discomfort (chest pain or retrosternal pressure/tightness), is associated with unfavorable outcomes after AMI. This finding has implications for patient management and public health measures designed to encourage appropriate and prompt medical consultation of patients with atypical AMI symptoms.
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Affiliation(s)
- Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
| | - Eva Harmel
- University Hospital Augsburg, Department of Cardiology, Respiratory Medicine and Intensive Care, Augsburg, Germany
| | - Philip Raake P
- University Hospital Augsburg, Department of Cardiology, Respiratory Medicine and Intensive Care, Augsburg, Germany
| | - Dennis Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Inge Kirchberger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Margit Heier
- University Hospital of Augsburg, KORA Study Centre, Augsburg, Germany; Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany
| | - Annette Peters
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany; Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich Germany; German Center for Diabetes Research (DZD) Neuherberg Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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10
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Schmitz T, Wein B, Raake P, Heier M, Peters A, Linseisen J, Meisinger C. Do patients with diabetes with new onset acute myocardial infarction present with different symptoms than non-diabetic patients? Front Cardiovasc Med 2024; 11:1324451. [PMID: 38287984 PMCID: PMC10822885 DOI: 10.3389/fcvm.2024.1324451] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 01/03/2024] [Indexed: 01/31/2024] Open
Abstract
Background The objective of this study was to investigate the differences in presenting symptoms between patients with and without diabetes being diagnosed with an acute myocardial infarction (AMI). Methods A total of 5,900 patients with a first-time AMI were included into the analysis. All patients aged between 25 and 84 years were recorded by the population-based Myocardial Infarction Registry in Augsburg, Germany, between 2010 and 2017. The presence (yes/no) of 12 AMI typical symptoms during the acute event was assessed within the scope of a face-to-face interview. Multivariable adjusted logistic regression models were calculated to analyze the associations between presenting symptoms and diabetes mellitus in AMI patients. Results Patients with diabetes had significantly less frequent typical pain symptoms, including typical chest pain. Also, other symptoms like sweating, vomiting/nausea, dizziness/vertigo and fear of death/feeling of annihilation occurred significantly more likely in non-diabetic patients. The only exception was the symptom of shortness of breath, which was found significantly more often in patients with diabetes. In multivariable-adjusted regression models, however, the observed effects were attenuated. In patients younger than 55 years, the associations between diabetes and various symptoms were mainly missing. Conclusions Type 2 diabetes mellitus is a risk factor not only for the development of AMI, but is also associated with an adverse outcome after AMI. Atypical clinical presentation additionally complicates the diagnostic process. It is therefore essential for physicians to be aware of the more often atypical symptoms that diabetic AMI patients report.
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Affiliation(s)
- Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Bastian Wein
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - Philip Raake
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - Margit Heier
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany
| | - Annette Peters
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research (DZD) Neuherberg, Neuherberg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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11
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Bauke F, Schmitz T, Harmel E, Raake P, Heier M, Linseisen J, Peters A, Meisinger C. Anterior-wall and non-anterior-wall STEMIs do not differ in long-term mortality: results from the augsburg myocardial infarction registry. Front Cardiovasc Med 2024; 10:1306272. [PMID: 38259315 PMCID: PMC10800510 DOI: 10.3389/fcvm.2023.1306272] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Background Different ST-segment elevation myocardial infarction (STEMI) localizations go along with dissimilarities in the size of the affected myocardium, the causing coronary vessel occlusion, and the right ventricular participation. Therefore, this study aims to clarify if there is any difference in long-term survival between anterior- and non-anterior-wall STEMI. Methods This study included 2,195 incident STEMI cases that occurred between 2009 and 2017, recorded by the population-based Augsburg Myocardial Infarction Registry, Germany. The study population comprised 1.570 men and 625 women aged 25-84 years at acute myocardial infarction. The patients were observed from the day of their first acute event with an average follow-up period of 4.3 years, (standard deviation: 3.0). Survival analyses and multivariable Cox regression analyses were performed to examine the association between infarction localizations and long-term all-cause mortality. Results Of the 2,195 patients, 1,118 had an anterior (AWS)- and 1,077 a non-anterior-wall-STEMI (NAWS). No significant associations of the STEMI localization with long-term mortality were found. When comparing AWS with NAWS, a hazard ratio of 0.91 [95% confidence interval: 0.75-1.10] could be calculated after multivariable adjustment. In contrast to NAWS, AWS was associated with a greater <28 day mortality, less current or former smoking and higher creatine kinase-myocardial band levels (CK-MB) and went along with a higher frequency of impaired left ventricular ejection fraction (<30%). Conclusions Despite pathophysiological differences between AWS and NAWS, and identified differences in multiple clinical characteristics, no significant differences in long-term mortality between both groups were observed.
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Affiliation(s)
- F. Bauke
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - T. Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - E. Harmel
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - P. Raake
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - M. Heier
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany
| | - J. Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - A. Peters
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Epidemiology, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
- German Research Center for Cardiovascular Research (DZHK e.V.), Partner Site Munich Heart Alliance, Munich, Germany
| | - C. Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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12
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Hellbach F, Freuer D, Meisinger C, Peters A, Winkelmann J, Costeira R, Hauner H, Baumeister SE, Bell JT, Waldenberger M, Linseisen J. Usual dietary intake and change in DNA methylation over years: EWAS in KORA FF4 and KORA fit. Front Nutr 2024; 10:1295078. [PMID: 38249614 PMCID: PMC10799384 DOI: 10.3389/fnut.2023.1295078] [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: 09/15/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Changes in DNA methylation can increase or suppress the expression of health-relevant genes. We investigated for the first time the relationship between habitual food consumption and changes in DNA methylation. Methods The German KORA FF4 and KORA Fit studies were used to study the change in methylation over a median follow-up of 4 years. Only subjects participating in both surveys and with available dietary and methylation data were included in the analysis (n = 465). DNA methylation was measured using the Infinium MethylationEPIC BeadChip (Illumina), resulting in 735,527 shared CpGs across both studies. Generalized estimating equation models with an interaction term of exposure and time point were used to analyze the association of 34 food groups, folic acid, and two dietary patterns with changes in DNA methylation over time. Results The results were corrected for genomic inflation. Significant interaction terms indicate different effects between both time points. We observed only a few significant associations between food intake and change in DNA methylation, except for cream and spirit consumption. The annotated genes include CLN3, PROM1, DLEU7, TLL2, and UGT1A10. Discussion We identified weak associations between food consumption and DNA methylation change. The differential results for cream and spirits, both consumed in low quantities, require replication in independent studies.
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Affiliation(s)
- Fabian Hellbach
- Department of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
- Medical Faculty, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilian University Munich, Munich, Germany
| | - Dennis Freuer
- Department of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Department of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Annette Peters
- Medical Faculty, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilian University Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Technical University of Munich, Institute of Human Genetics, Klinikum Rechts der Isar, Munich, Germany
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
- School of Medicine, Institute of Nutritional Medicine, Technical University of Munich, Munich, Germany
| | - Sebastian-Edgar Baumeister
- Medical Faculty, Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Department of Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
- Medical Faculty, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilian University Munich, Munich, Germany
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13
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Meisinger C, Freuer D, Schmitz T, Ertl M, Zickler P, Naumann M, Linseisen J. Inflammation biomarkers in acute ischemic stroke according to different etiologies. Eur J Neurol 2024; 31:e16006. [PMID: 37522399 DOI: 10.1111/ene.16006] [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: 03/21/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND High throughput technologies provide new opportunities to further investigate the pathophysiology of ischemic strokes. The present cross-sectional study aimed to evaluate potential associations between the etiologic subtypes of ischemic stroke and blood-based proteins. METHODS We investigated the associations between ischemic stroke subtypes and a panel of circulating inflammation biomarkers in 364 patients included in the Stroke Cohort Augsburg (SCHANA). Stroke etiologies were categorized according to the TOAST (Trial of Org 10172 in Acute Stroke Treatment) classification. Serum concentrations of 52 biomarkers were measured using the Bio-Plex Pro™ Human Cytokine Screening Panel, ICAM-1 set and VCAM-1 set, plus the Pro™ Human TH17 cytokine sCD40L set and IL31 set (all Bio-Rad, USA). Multivariable linear regression models were used to examine associations. Point estimates were calculated as the mean difference inσ -standardized cytokine levels on the log2 -scale. RESULTS Stromal-cell-derived-factor 1 alpha (SDF-1a) showed significantly higher serum levels in cardioembolic compared with large vessel atherosclerotic stroke (β = 0.48; 95% CI 0.22; 0.75; Padj = 0.036). Significantly lower levels of interleukin-6 (IL-6) (β = -0.53; 95% CI -0.84; -0.23; Padj = 0.036) and macrophage migration inhibitory factor (MIF) (β = -0.52; 95% CI -0.84; -0.21; Padj = 0.043) were found in the small vessel versus large vessel stroke subtype. CONCLUSIONS Immune dysregulations observed in different stroke subtypes might help uncover pathophysiological mechanisms of the disease. Further studies are needed to validate identified biomarkers in diverse study populations before they can potentially be used in clinical practice to further improve stroke management and patient outcomes.
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Affiliation(s)
- Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Dennis Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Michael Ertl
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Philipp Zickler
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Markus Naumann
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität Munich (LMU), Munich, Germany
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14
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Keshawarz A, Joehanes R, Ma J, Lee GY, Costeira R, Tsai PC, Masachs OM, Bell JT, Wilson R, Thorand B, Winkelmann J, Peters A, Linseisen J, Waldenberger M, Lehtimäki T, Mishra PP, Kähönen M, Raitakari O, Helminen M, Wang CA, Melton PE, Huang RC, Pennell CE, O’Sullivan TA, Ochoa-Rosales C, Voortman T, van Meurs JB, Young KL, Graff M, Wang Y, Kiel DP, Smith CE, Jacques PF, Levy D. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics 2023; 18:2211361. [PMID: 37233989 PMCID: PMC10228397 DOI: 10.1080/15592294.2023.2211361] [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: 08/11/2022] [Accepted: 04/28/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Dietary intake of antioxidants such as vitamins C and E protect against oxidative stress, and may also be associated with altered DNA methylation patterns. METHODS We meta-analysed epigenome-wide association study (EWAS) results from 11,866 participants across eight population-based cohorts to evaluate the association between self-reported dietary and supplemental intake of vitamins C and E with DNA methylation. EWAS were adjusted for age, sex, BMI, caloric intake, blood cell type proportion, smoking status, alcohol consumption, and technical covariates. Significant results of the meta-analysis were subsequently evaluated in gene set enrichment analysis (GSEA) and expression quantitative trait methylation (eQTM) analysis. RESULTS In meta-analysis, methylation at 4,656 CpG sites was significantly associated with vitamin C intake at FDR ≤ 0.05. The most significant CpG sites associated with vitamin C (at FDR ≤ 0.01) were enriched for pathways associated with systems development and cell signalling in GSEA, and were associated with downstream expression of genes enriched in the immune response in eQTM analysis. Furthermore, methylation at 160 CpG sites was significantly associated with vitamin E intake at FDR ≤ 0.05, but GSEA and eQTM analysis of the top most significant CpG sites associated with vitamin E did not identify significant enrichment of any biological pathways investigated. CONCLUSIONS We identified significant associations of many CpG sites with vitamin C and E intake, and our results suggest that vitamin C intake may be associated with systems development and the immune response.
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Affiliation(s)
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gha Young Lee
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Olatz M. Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Augsburg at University Hospital Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Helminen
- Tays Research Services, Tampere University Hospital, Tampere, Finland
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Carol A. Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia
| | - Craig E. Pennell
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | | | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paul F. Jacques
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Nogal A, Tettamanzi F, Dong Q, Louca P, Visconti A, Christiansen C, Breuninger T, Linseisen J, Grallert H, Wawro N, Asnicar F, Wong K, Baleanu AF, Michelotti GA, Segata N, Falchi M, Peters A, Franks PW, Bagnardi V, Spector TD, Bell JT, Gieger C, Valdes AM, Menni C. A Fecal Metabolite Signature of Impaired Fasting Glucose: Results From Two Independent Population-Based Cohorts. Diabetes 2023; 72:1870-1880. [PMID: 37699401 PMCID: PMC10658071 DOI: 10.2337/db23-0170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023]
Abstract
Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We searched for fecal metabolites, a readout of gut microbiome function, associated with impaired fasting glucose (IFG) in 142 individuals with IFG and 1,105 healthy individuals from the UK Adult Twin Registry (TwinsUK). We used the Cooperative Health Research in the Region of Augsburg (KORA) cohort (318 IFG individuals, 689 healthy individuals) to replicate our findings. We linearly combined eight IFG-positively associated metabolites (1-methylxantine, nicotinate, glucuronate, uridine, cholesterol, serine, caffeine, and protoporphyrin IX) into an IFG-metabolite score, which was significantly associated with higher odds ratios (ORs) for IFG (TwinsUK: OR 3.9 [95% CI 3.02-5.02], P < 0.0001, KORA: OR 1.3 [95% CI 1.16-1.52], P < 0.0001) and incident type 2 diabetes (T2D; TwinsUK: hazard ratio 4 [95% CI 1.97-8], P = 0.0002). Although these are host-produced metabolites, we found that the gut microbiome is strongly associated with their fecal levels (area under the curve >70%). Abundances of Faecalibacillus intestinalis, Dorea formicigenerans, Ruminococcus torques, and Dorea sp. AF24-7LB were positively associated with IFG, and such associations were partially mediated by 1-methylxanthine and nicotinate (variance accounted for mean 14.4% [SD 5.1], P < 0.05). Our results suggest that the gut microbiome is linked to prediabetes not only via the production of microbial metabolites but also by affecting intestinal absorption/excretion of host-produced metabolites and xenobiotics, which are correlated with the risk of IFG. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes and T2D onset. ARTICLE HIGHLIGHTS Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We investigated whether there is a fecal metabolite signature of impaired fasting glucose (IFG) and the possible underlying mechanisms of action. We identified a fecal metabolite signature of IFG associated with prevalent IFG in two independent cohorts and incident type 2 diabetes in a subanalysis. Although the signature consists of metabolites of nonmicrobial origin, it is strongly correlated with gut microbiome composition. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes by affecting intestinal absorption or excretion of host compounds and xenobiotics.
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Affiliation(s)
- Ana Nogal
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Francesca Tettamanzi
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
- Humanitas Clinical and Research Centre, IRCCS, Rozzano (Milan), Italy
| | - Qiuling Dong
- Institute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Panayiotis Louca
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Alessia Visconti
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Colette Christiansen
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
- School of Mathematics and Statistics, The Open University, Milton Keynes, U.K
| | - Taylor Breuninger
- Epidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany
- ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Munich, Germany
| | - Harald Grallert
- Institute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Nina Wawro
- Epidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Francesco Asnicar
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | | | - Andrei-Florin Baleanu
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | | | - Nicola Segata
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Mario Falchi
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Annette Peters
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Munich Heart Alliance, German Center for Cardiovascular Research (DZHK e.V., Partner-Site Munich), Munich, Germany
| | - Paul W. Franks
- Lund University Diabetes Center, Lund University, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Vincenzo Bagnardi
- Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy
| | - Tim D. Spector
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Jordana T. Bell
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Ana M. Valdes
- Academic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, U.K
| | - Cristina Menni
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London, U.K
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16
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Emmert-Fees KMF, Amies-Cull B, Wawro N, Linseisen J, Staudigel M, Peters A, Cobiac LJ, O’Flaherty M, Scarborough P, Kypridemos C, Laxy M. Projected health and economic impacts of sugar-sweetened beverage taxation in Germany: A cross-validation modelling study. PLoS Med 2023; 20:e1004311. [PMID: 37988392 PMCID: PMC10662751 DOI: 10.1371/journal.pmed.1004311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/13/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Taxes on sugar-sweetened beverages (SSBs) have been implemented globally to reduce the burden of cardiometabolic diseases by disincentivizing consumption through increased prices (e.g., 1 peso/litre tax in Mexico) or incentivizing industry reformulation to reduce SSB sugar content (e.g., tiered structure of the United Kingdom [UK] Soft Drinks Industry Levy [SDIL]). In Germany, where no tax on SSBs is enacted, the health and economic impact of SSB taxation using the experience from internationally implemented tax designs has not been evaluated. The objective of this study was to estimate the health and economic impact of national SSBs taxation scenarios in Germany. METHODS AND FINDINGS In this modelling study, we evaluated a 20% ad valorem SSB tax with/without taxation of fruit juice (based on implemented SSB taxes and recommendations) and a tiered tax (based on the UK SDIL) in the German adult population aged 30 to 90 years from 2023 to 2043. We developed a microsimulation model (IMPACTNCD Germany) that captures the demographics, risk factor profile and epidemiology of type 2 diabetes, coronary heart disease (CHD) and stroke in the German population using the best available evidence and national data. For each scenario, we estimated changes in sugar consumption and associated weight change. Resulting cases of cardiometabolic disease prevented/postponed and related quality-adjusted life years (QALYs) and economic impacts from healthcare (medical costs) and societal (medical, patient time, and productivity costs) perspectives were estimated using national cost and health utility data. Additionally, we assessed structural uncertainty regarding direct, body mass index (BMI)-independent cardiometabolic effects of SSBs and cross-validated results with an independently developed cohort model (PRIMEtime). We found that SSB taxation could reduce sugar intake in the German adult population by 1 g/day (95%-uncertainty interval [0.05, 1.65]) for a 20% ad valorem tax on SSBs leading to reduced consumption through increased prices (pass-through of 82%) and 2.34 g/day (95%-UI [2.32, 2.36]) for a tiered tax on SSBs leading to 30% reduction in SSB sugar content via reformulation. Through reductions in obesity, type 2 diabetes, and cardiovascular disease (CVD), 106,000 (95%-UI [57,200, 153,200]) QALYs could be gained with a 20% ad valorem tax and 192,300 (95%-UI [130,100, 254,200]) QALYs with a tiered tax. Respectively, €9.6 billion (95%-UI [4.7, 15.3]) and €16.0 billion (95%-UI [8.1, 25.5]) costs could be saved from a societal perspective over 20 years. Impacts of the 20% ad valorem tax were larger when additionally taxing fruit juice (252,400 QALYs gained, 95%-UI [176,700, 325,800]; €11.8 billion costs saved, 95%-UI [€6.7, €17.9]), but impacts of all scenarios were reduced when excluding direct health effects of SSBs. Cross-validation with PRIMEtime showed similar results. Limitations include remaining uncertainties in the economic and epidemiological evidence and a lack of product-level data. CONCLUSIONS In this study, we found that SSB taxation in Germany could help to reduce the national burden of noncommunicable diseases and save a substantial amount of societal costs. A tiered tax designed to incentivize reformulation of SSBs towards less sugar might have a larger population-level health and economic impact than an ad valorem tax that incentivizes consumer behaviour change only through increased prices.
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Affiliation(s)
- Karl M. F. Emmert-Fees
- Professorship of Public Health and Prevention, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health LMU Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Research Center for Environmental Health, Neuherberg, Germany
| | - Ben Amies-Cull
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Oxford Health Biomedical Research Centre, National Institute of Health and Care Research, Oxford, United Kingdom
| | - Nina Wawro
- Institute of Epidemiology, Helmholtz Zentrum München, Research Center for Environmental Health, Neuherberg, Germany
| | - Jakob Linseisen
- Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Matthias Staudigel
- TUM School of Management, Technical University of Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Research Center for Environmental Health, Neuherberg, Germany
| | - Linda J. Cobiac
- School of Medicine and Dentistry, Griffith University, Southport, Australia
| | - Martin O’Flaherty
- Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, United Kingdom
| | - Peter Scarborough
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Oxford Health Biomedical Research Centre, National Institute of Health and Care Research, Oxford, United Kingdom
| | - Chris Kypridemos
- Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, United Kingdom
| | - Michael Laxy
- Professorship of Public Health and Prevention, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
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17
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Costeira R, Evangelista L, Wilson R, Yan X, Hellbach F, Sinke L, Christiansen C, Villicaña S, Masachs OM, Tsai PC, Mangino M, Menni C, Berry SE, Beekman M, van Heemst D, Slagboom PE, Heijmans BT, Suhre K, Kastenmüller G, Gieger C, Peters A, Small KS, Linseisen J, Waldenberger M, Bell JT. Metabolomic biomarkers of habitual B vitamin intakes unveil novel differentially methylated positions in the human epigenome. Clin Epigenetics 2023; 15:166. [PMID: 37858220 PMCID: PMC10588110 DOI: 10.1186/s13148-023-01578-7] [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: 07/03/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND B vitamins such as folate (B9), B6, and B12 are key in one carbon metabolism, which generates methyl donors for DNA methylation. Several studies have linked differential methylation to self-reported intakes of folate and B12, but these estimates can be imprecise, while metabolomic biomarkers can offer an objective assessment of dietary intakes. We explored blood metabolomic biomarkers of folate and vitamins B6 and B12, to carry out epigenome-wide analyses across up to three European cohorts. Associations between self-reported habitual daily B vitamin intakes and 756 metabolites (Metabolon Inc.) were assessed in serum samples from 1064 UK participants from the TwinsUK cohort. The identified B vitamin metabolomic biomarkers were then used in epigenome-wide association tests with fasting blood DNA methylation levels at 430,768 sites from the Infinium HumanMethylation450 BeadChip in blood samples from 2182 European participants from the TwinsUK and KORA cohorts. Candidate signals were explored for metabolite associations with gene expression levels in a subset of the TwinsUK sample (n = 297). Metabolomic biomarker epigenetic associations were also compared with epigenetic associations of self-reported habitual B vitamin intakes in samples from 2294 European participants. RESULTS Eighteen metabolites were associated with B vitamin intakes after correction for multiple testing (Bonferroni-adj. p < 0.05), of which 7 metabolites were available in both cohorts and tested for epigenome-wide association. Three metabolites - pipecolate (metabolomic biomarker of B6 and folate intakes), pyridoxate (marker of B6 and folate) and docosahexaenoate (DHA, marker of B6) - were associated with 10, 3 and 1 differentially methylated positions (DMPs), respectively. The strongest association was observed between DHA and DMP cg03440556 in the SCD gene (effect = 0.093 ± 0.016, p = 4.07E-09). Pyridoxate, a catabolic product of vitamin B6, was inversely associated with CpG methylation near the SLC1A5 gene promoter region (cg02711608 and cg22304262) and with SLC7A11 (cg06690548), but not with corresponding changes in gene expression levels. The self-reported intake of folate and vitamin B6 had consistent but non-significant associations with the epigenetic signals. CONCLUSION Metabolomic biomarkers are a valuable approach to investigate the effects of dietary B vitamin intake on the human epigenome.
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Affiliation(s)
- Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
| | - Laila Evangelista
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Xinyu Yan
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Fabian Hellbach
- Epidemiology, Medical Faculty, University Augsburg, University Hospital Augsburg, 86156, Augsburg, Germany
| | - Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Colette Christiansen
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Sergio Villicaña
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Olatz M Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan City, Taiwan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Sarah E Berry
- Department of Nutritional Sciences, King's College London, London, SE1 9NH, UK
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300RC, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Karsten Suhre
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
| | - Annette Peters
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University Augsburg, University Hospital Augsburg, 86156, Augsburg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
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18
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Meisinger C, Kirchberger I, Raake P, Linseisen J, Schmitz T. Fatigue, Depression and Health-Related Quality of Life in Patients with Post-Myocardial Infarction during the COVID-19 Pandemic: Results from the Augsburg Myocardial Infarction Registry. J Clin Med 2023; 12:6349. [PMID: 37834993 PMCID: PMC10573677 DOI: 10.3390/jcm12196349] [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: 09/07/2023] [Revised: 09/28/2023] [Accepted: 09/30/2023] [Indexed: 10/15/2023] Open
Abstract
The interplay between fatigue and depression and their association with health-related quality of life (HRQoL) after acute myocardial infarction (AMI) has received little attention during the COVID-19 pandemic. Therefore, this study evaluated the frequency of fatigue and depression in post-AMI patients during the COVID-19 pandemic and investigated the cross-sectional associations between fatigue, depression and HRQoL. METHODS The analysis was based on population-based Myocardial Infarction Registry Augsburg data. All survivors of AMI between 1 June 2020 and 15 September 2021 were included (n = 882) and received a postal questionnaire containing questions about fatigue (Fatigue Assessment Scale), depression (Patient Health Questionnaire), and HRQoL (MacNew Heart Disease HRQoL questionnaire) on 17 November 2021. The questionnaire was returned by 592 patients (67.1%), and 574 participants could be included in the analysis. Multivariable linear regression models were performed to investigate the associations between fatigue and depression (both exposures) and HRQoL (outcome). RESULTS Altogether, 273 (47.6%) participants met the criteria for the presence of fatigue, about 16% showed signs of moderate to severe depression. Both fatigue and depression were significantly associated with a decreased HRQoL (total score and emotional, social, and physical subscales; all p-values < 0.0001). In particular, a combined occurrence of fatigue and depression was associated with a significantly reduced HRQoL. CONCLUSIONS It seems necessary to screen post-MI patients for the presence of fatigue and depression in clinical practice on a routine basis to provide them with adequate support and treatment and thus also to improve their HRQoL.
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Affiliation(s)
- Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, 86156 Augsburg, Germany; (I.K.); (J.L.); (T.S.)
| | - Inge Kirchberger
- Epidemiology, Medical Faculty, University of Augsburg, 86156 Augsburg, Germany; (I.K.); (J.L.); (T.S.)
| | - Philip Raake
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, 86156 Augsburg, Germany;
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, 86156 Augsburg, Germany; (I.K.); (J.L.); (T.S.)
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians Universität München, 81377 Munich, Germany
| | - Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, 86156 Augsburg, Germany; (I.K.); (J.L.); (T.S.)
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19
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Peilstöcker D, Meisinger C, Linseisen J, Baumgärtner J, Hasan A, Schmauß M, Kirchberger I. Are cytokine profiles associated with the cognitive performance of adults with severe major depression? J Psychiatr Res 2023; 166:32-39. [PMID: 37738778 DOI: 10.1016/j.jpsychires.2023.09.009] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/24/2023] [Accepted: 09/15/2023] [Indexed: 09/24/2023]
Abstract
Cognitive impairment often occurs in major depressive disorder (MDD). Studies suggest that these cognitive deficits may be associated with inflammatory biomarkers, but data are limited. Therefore, this study aims to investigate the relationship between 48 peripheral blood cytokines and cognitive performance in patients with severe depressive disorder. One hundred consecutive hospitalized adult patients with severe depression who participated in the Depression long-term Augsburg (DELTA) study were included in the present analysis. To test working memory (WM) the Wechsler Adult Intelligence Scale (WAIS) IV and to assess interference control (IC) the Stroop Color and Word Test (SCWT) were performed. The serum concentrations of the biomarkers were measured using the Bio-Plex Pro™ Human Cytokine Screening Panel 1. Multiple linear regression models adjusted for possible confounders were fitted to examine associations. WM was impaired in 11% of the patients. IC was impaired in 1%-3% of the cases depending on the subtest. Eotaxin, IL-1β, IL-4, MCP-1, G-CSF, and PGF-BB were negatively associated with the WM. Eotaxin, IL-1β, IL-4, IL-16, IL-18, MCP-1, G-CSF, SCF, and MIP-1α were negatively associated with IC. None of these associations remained significant after adjustment for multiple testing. The present study identified eotaxin, IL-1β, IL-4, IL-16, IL-18, MCP-1, G-CSF, SCF, PGF-BB and MIP-1α as being associated with cognitive performance. After confirmation of these results in further studies, these cytokines may be potential targets for new treatments.
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Affiliation(s)
- Daniela Peilstöcker
- Institute for Medical Information Processing, Biometry, and Epidemiology, IBE, LMU Munich, Munich, Germany; Pettenkofer School of Public Health, Munich, Germany; Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jessica Baumgärtner
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Augsburg, Medical Faculty, BKH Augsburg, Augsburg, Germany
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Augsburg, Medical Faculty, BKH Augsburg, Augsburg, Germany
| | - Max Schmauß
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Augsburg, Medical Faculty, BKH Augsburg, Augsburg, Germany
| | - Inge Kirchberger
- Institute for Medical Information Processing, Biometry, and Epidemiology, IBE, LMU Munich, Munich, Germany; Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
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20
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Prechtl P, Schmitz T, Pochert N, Traidl-Hoffmann C, Linseisen J, Meisinger C, Freuer D. Association between body fat distribution and B-lymphocyte subsets in peripheral blood. Immun Ageing 2023; 20:47. [PMID: 37705078 PMCID: PMC10498588 DOI: 10.1186/s12979-023-00372-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Obesity is associated with chronic low-grade inflammation, which is underpinned by the presence of elevated levels of circulating proinflammatory cytokines in obese individuals. Due to the close relationship between adipose tissue and the immune system, it can be speculated that the accumulation of fat may influence the frequency and phenotype of lymphocyte populations. The aim of our study was to investigate whether body fat distribution is associated with B lymphocyte composition in peripheral blood. We examined the association between visceral (VAT) and total body fat (TBF) and the frequencies of B-cell subsets in 238 subjects over a period of up to one year using random intercept models. B lymphocyte subsets were determined by fluorescence-based flow cytometry. RESULTS Inverse associations were found between body fat measurements and plasma blasts, memory B cells, and IgM-IgD- cells. VAT, but not TBF, was positively associated with naive CD19 cells. In our analyses, both VAT and TBF showed positive associations with IgD only B cells. CONCLUSIONS In conclusion, body fat accumulation seems to be associated with a lower proportion of antibody-secreting plasma blasts and memory cells and an increasing amount of partially anergic, naive CD19 cells.
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Affiliation(s)
- Pia Prechtl
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU, Munich, Munich, Germany
| | - Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Nicole Pochert
- Institute of Environmental Medicine, Helmholtz Munich, Munich, Germany
- Department of Obstetrics and Gynecology, University Hospital of Augsburg, Augsburg, Germany
| | - Claudia Traidl-Hoffmann
- Institute of Environmental Medicine, Helmholtz Munich, Munich, Germany
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU, Munich, Munich, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Dennis Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
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21
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Schmitz T, Freuer D, Meisinger C, Linseisen J. Associations between anthropometric parameters and immune-phenotypical characteristics of circulating Tregs and serum cytokines. Inflamm Res 2023; 72:1789-1798. [PMID: 37659013 PMCID: PMC10539435 DOI: 10.1007/s00011-023-01777-1] [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] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/31/2023] [Indexed: 09/05/2023] Open
Abstract
OBJECTIVE To investigate the associations between several anthropometric parameters and regulatory T cells (Tregs) and circulating cytokines in a population-based cohort. METHODS Between 2018 and 2021, a total of 238 participants were examined up to three times within the scope of the MEGA study in Augsburg, Germany. Tregs were analyzed using flow cytometry and the serum concentrations of 52 cytokines were determined. Anthropometric parameters were measured, using also bioelectrical impedance analysis: body mass index (BMI), relative total body fat, relative visceral adipose tissue (rVAT), waist circumference (WC), waist-to-hip ratio (WHR) and body fat distribution. Associations were analyzed using linear mixed models with random intercept (Tregs) and conventional linear regression models (cytokines). RESULTS WC and WHR were inversely associated with the general Treg subset. Four parameters (BMI, rVAT, WC, and WHR) were inversely associated with the conventional Treg population. Three cytokines showed a particularly strong association with several anthropometric parameters: the cutaneous T-cell attracting chemokine was inversely associated with anthropometric parameters, while hepatocyte growth factor and interleukine-18 showed positive associations. CONCLUSIONS Anthropometric measures are associated with Tregs and serum cytokine concentrations revealing new important interconnections between obesity and the adaptive immune system.
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Affiliation(s)
- Timo Schmitz
- Epidemiology, Medical Faculty, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
| | - D Freuer
- Epidemiology, Medical Faculty, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - C Meisinger
- Epidemiology, Medical Faculty, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - J Linseisen
- Epidemiology, Medical Faculty, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
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22
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Renner B, Buyken AE, Gedrich K, Lorkowski S, Watzl B, Linseisen J, Daniel H. Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs). Adv Nutr 2023; 14:983-994. [PMID: 37419418 PMCID: PMC10509404 DOI: 10.1016/j.advnut.2023.06.009] [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: 10/01/2022] [Revised: 05/06/2023] [Accepted: 06/26/2023] [Indexed: 07/09/2023] Open
Abstract
Nearly all approaches to personalized nutrition (PN) use information such as the gene variants of individuals to deliver advice that is more beneficial than a generic "1-size-fits-all" recommendation. Despite great enthusiasm and the increased availability of commercial services, thus far, scientific studies have only revealed small to negligible effects on the efficacy and effectiveness of personalized dietary recommendations, even when using genetic or other individual information. In addition, from a public health perspective, scholars are critical of PN because it primarily targets socially privileged groups rather than the general population, thereby potentially widening health inequality. Therefore, in this perspective, we propose to extend current PN approaches by creating adaptive personalized nutrition advice systems (APNASs) that are tailored to the type and timing of personalized advice for individual needs, capacities, and receptivity in real-life food environments. These systems encompass a broadening of current PN goals (i.e., what should be achieved) to incorporate "individual goal preferences" beyond currently advocated biomedical targets (e.g., making sustainable food choices). Moreover, they cover the "personalization processes of behavior change" by providing in situ, "just-in-time" information in real-life environments (how and when to change), which accounts for individual capacities and constraints (e.g., economic resources). Finally, they are concerned with a "participatory dialog between individuals and experts" (e.g., actual or virtual dieticians, nutritionists, and advisors) when setting goals and deriving measures of adaption. Within this framework, emerging digital nutrition ecosystems enable continuous, real-time monitoring, advice, and support in food environments from exposure to consumption. We present this vision of a novel PN framework along with scenarios and arguments that describe its potential to efficiently address individual and population needs and target groups that would benefit most from its implementation.
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Affiliation(s)
- Britta Renner
- Department of Psychology and Centre for the Advanced Study of Collective Behavior, Psychological Assessment and Health Psychology, University of Konstanz, Konstanz, Germany.
| | - Anette E Buyken
- Public Health Nutrition, Paderborn University, Paderborn, Germany
| | - Kurt Gedrich
- ZIEL-Institute for Food and Health, Technical University of Munich, Freising, Germany
| | - Stefan Lorkowski
- Institute of Nutritional Sciences Friedrich Schiller University Jena, Jena, Germany, and Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Germany
| | - Bernhard Watzl
- Ex. Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Jakob Linseisen
- University Hospital Augsburg, University of Augsburg, Augsburg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Hannelore Daniel
- Ex. School of Life Sciences, Technical University of Munich, Freising, Germany
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Schmitz T, Wein B, Heier M, Peters A, Meisinger C, Linseisen J. Baseline fibroblast growth factor 23 is associated with long-term mortality in ST-elevation myocardial infarction-results from the augsburg myocardial infarction registry. Front Cardiovasc Med 2023; 10:1173281. [PMID: 37600039 PMCID: PMC10436601 DOI: 10.3389/fcvm.2023.1173281] [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: 02/24/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Background The aim of this study was to investigate the association between inflammatory plasma protein concentrations and long-term mortality in patients with ST-elevation myocardial infarction (STEMI). Methods For 343 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 inflammatory plasma proteins were measured at the index event using the OLINK inflammation panel. In multivariable-adjusted Cox regression models, the association between each plasma protein and all-cause long-term mortality was investigated. Median follow-up time was 7.6 (IQR: 2.4) years. For plasma protein that showed a strong association with long-term mortality, a 5-year survival ROC analysis was performed. Results One plasma protein, namely Fibroblast Growth Factor 23 (FGF-23), was particularly well associated with long-term mortality in the multivariable-adjusted Cox model with an FDR-adjusted p-value of <0.001 and a Hazard Ratio (HR) of 1.57 [95% CI: 1.29-1.91]. In the 5-years ROC analysis, an AUC of 0.6903 [95% CI: 0.594-0.781] was estimated for FGF-23. All other plasma protein didńt show strong associations, each marker with FDR-adjusted p-values >0.05 in the multivariable-adjusted Cox models. Conclusions FGF-23 is independently associated with long-term mortality after STEMI and might play an important role in the response to myocardial injury. The results suggest FGF-23 to be a useful marker in the long-term treatment of STEMI patients and a potential target for drug development.
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Affiliation(s)
- Timo Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Bastian Wein
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - Margit Heier
- KORA Study Centre, University Hospital of Augsburg,Augsburg, Germany
- Helmholtz Zentrum München, Institute for Epidemiology, Neuherberg, Germany
| | - Annette Peters
- Helmholtz Zentrum München, Institute for Epidemiology, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Research Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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24
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Braadt L, Naumann M, Freuer D, Schmitz T, Linseisen J, Ertl M. Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study. Neurol Res Pract 2023; 5:31. [PMID: 37468969 DOI: 10.1186/s42466-023-00259-3] [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: 04/04/2023] [Accepted: 06/20/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Stroke is a leading cause of mortality and disability worldwide and its occurrence is expected to increase in the future. Blood biomarkers have proven their usefulness in identification and monitoring of the disease. Stroke severity is a major factor for estimation of prognosis and risk of recurrent events, but knowledge on respective blood biomarkers is still scarce. Stroke pathophysiology comprises a multitude of ischemia-induced inflammatory and immune mediated responses. Therefore, the assessment of an immune-related panel in correlation with stroke severity seems promising. METHODS In the present cross-sectional evaluation, a set of 92 blood biomarkers of a standardized immune panel were gathered (median 4.6 days after admission) and related to stroke severity measures, assessed at hospital admission of acute stroke patients. Multivariable logistic regression models were used to determine associations between biomarkers and modified Rankin Scale (mRS), linear regression models were used for associations with National Institute of Health Stroke Scale. RESULTS 415 patients (mean age 69 years; 41% female) were included for biomarker analysis. C-type lectin domain family 4 member G (CLEC4G; OR = 2.89, 95% CI [1.49; 5.59], padj = 0.026, Cytoskeleton-associated protein 4 (CKAP4; OR = 2.38, 95% CI [1.43; 3.98], padj = 0.019), and Interleukin-6 (IL-6) (IL6; OR = 1.97, 95% CI [1.49; 2.62], padj < 0.001) were positively associated with stroke severity measured by mRS, while Lymphocyte antigen 75 (LY75; OR = 0.37, 95% CI [0.19; 0.73], padj = 0.049) and Integrin alpha-11 (ITGA11 OR = 0.24, 95% CI [0.14, 0.40] padj < 0.001) were inversely associated. When investigating the relationships with the NIHSS, IL-6 (β = 0.23, 95% CI [0.12, 0.33] padj = 0.001) and ITGA11 (β = - 0.60, 95% CI [- 0.83, - 0.37] padj < 0.001) were significantly associated. CONCLUSIONS Higher relative concentrations of plasma CLEC4G, CKAP4, and IL-6 were associated with higher stroke severity, whereas LY75 and ITGA11 showed an inverse association. Future research might show a possible use as therapeutic targets and application in individual risk assessments.
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Affiliation(s)
- Lino Braadt
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.
| | - Markus Naumann
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Timo Schmitz
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Michael Ertl
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
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25
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Harmel E, Schmitz T, Meisinger C, Linseisen J, von Scheidt W, Thilo C, Kirchberger I. COVID-19 risk perceptions, worries and preventive behaviors in patients with previous myocardial infarction: results from the myocardial infarction registry Augsburg. PSYCHOL HEALTH MED 2023; 28:1873-1882. [PMID: 35635262 DOI: 10.1080/13548506.2022.2083200] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 05/20/2022] [Indexed: 10/18/2022]
Abstract
Despite the known association of chronic cardiovascular diseases and more severe courses of COVID-19, little is known about individual risk perception of patients with a history of acute myocardial infarction (AMI) and resulting preventive behaviours. In May 2020, a postal survey was conducted, including 150 patients with previous AMI from the myocardial infarction registry Augsburg. The study objective was to assess COVID-19 knowledge, individual risk perception, worries, infection likelihood and preventive behaviours in this patient cohort. From the 100 respondents, 69.7% perceived themselves to be at high risk of developing a severe course of COVID-19. There was a significant positive correlation between dangerousness assessment and knowledge on COVID-19. Despite a majority (70%) of patients rating their susceptibility for an infection as moderate to very high, the individual likelihood of being infected was rated at only 3%. Almost 70% of patients with previous MI classified themselves at high risk for a severe course of COVID-19 infection. As seen in other risk groups as well, the availability of valuable information sources as well as the support in individual risk reduction strategies and psychological coping mechanisms are mandatory, especially since higher knowledge correlates with dangerousness assessment and might lead to better compliance with preventive behaviours.
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Affiliation(s)
- E Harmel
- Department of Cardiology, University Hospital Augsburg, Augsburg, Germany
| | - T Schmitz
- Chair of Epidemiology at the University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - C Meisinger
- Chair of Epidemiology at the University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - J Linseisen
- Chair of Epidemiology at the University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - W von Scheidt
- Department of Cardiology, University Hospital Augsburg, Augsburg, Germany
| | - C Thilo
- Department of Cardiology, Hospital of Rosenheim, Rosenheim, Germany
| | - I Kirchberger
- Chair of Epidemiology at the University of Augsburg, University Hospital Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology- IBE, Ludwig- Maximilians Universität München, Munich, Germany
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26
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Iglesias Morcillo M, Freuer D, Peters A, Heier M, Teupser D, Meisinger C, Linseisen J. Association between fatty liver index and blood coagulation markers: a population-based study. Lipids Health Dis 2023; 22:83. [PMID: 37386502 PMCID: PMC10308678 DOI: 10.1186/s12944-023-01854-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 05/19/2023] [Accepted: 06/19/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Population-based studies investigating the association between blood coagulation markers and non-alcoholic fatty liver disease (NAFLD) are rare. Thus, we aimed to investigate the relationship between the Fatty Liver Index (FLI) as a measure of hepatic steatosis and plasma concentrations of antithrombin III, D-dimer, fibrinogen D, protein C, protein S, factor VIII, activated partial thromboplastin time (aPTT), quick value and international thromboplastin time (INR) in the general population. METHODS After the exclusion of participants with anticoagulative treatment, 776 participants (420 women and 356 men, aged 54-74 years) of the population-based KORA Fit study with analytic data on hemostatic factors were included in the present analysis. Linear regression models were used to explore the associations between FLI and hemostatic markers, adjusted for sex, age, alcohol consumption, education, smoking status, and physical activity. In a second model, additional adjustments were made for the history of stroke, hypertension, myocardial infarction, serum non-HDL cholesterol levels, and diabetes status. In addition, analyses were stratified by diabetes status. RESULTS In the multivariable models (with or without health conditions), significantly positive associations with FLI were obtained for plasma concentrations of D-dimers, factor VIII, fibrinogen D, protein C, protein S, and quick value, while INR and antithrombin III were inversely associated. These associations were weaker in pre-diabetic subjects and largely disappeared in diabetic patients. CONCLUSION In this population-based study, an increased FLI is clearly related to changes in the blood coagulation system, possibly increasing the risk of thrombotic events. Due to a generally more pro-coagulative profile of hemostatic factors, such an association is not visible in diabetic subjects.
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Affiliation(s)
| | - Dennis Freuer
- Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg, 86156, Germany
| | - Anette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, 85764, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, 81377, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, 85764, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, 85764, Germany
- KORA Study Centre, University Hospital Augsburg, Augsburg, 86156, Germany
| | - Daniel Teupser
- Institute of Laboratory Medicine, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, 81377, Germany
| | - Christine Meisinger
- Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg, 86156, Germany
| | - Jakob Linseisen
- Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg, 86156, Germany.
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, 81377, Germany.
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27
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Kirchberger I, Meisinger C, Warm TD, Hyhlik-Dürr A, Linseisen J, Goßlau Y. Post-COVID-19 Syndrome in Non-Hospitalized Individuals: Healthcare Situation 2 Years after SARS-CoV-2 Infection. Viruses 2023; 15:1326. [PMID: 37376625 DOI: 10.3390/v15061326] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Although "post-COVID-19 syndrome" (PCS) is reported to be common even in non-hospitalized individuals, long-term information on symptom burden, healthcare needs, utilization, and satisfaction with healthcare is scarce. The objectives of this study were to describe symptom burden, healthcare utilization and experiences with the healthcare offered for PCS in a German sample of non-hospitalized persons 2 years after SARS-CoV-2 infection. Individuals with past COVID-19 confirmed by positive polymerase chain reaction testing were examined at the University Hospital of Augsburg from 4 November 2020 to 26 May 2021 and completed a postal questionnaire between 14 June 2022 and 1 November 2022. Participants who self-reported the presence of fatigue, dyspnea on exertion, memory problems or concentration problems were classified as having PCS. Of the 304 non-hospitalized participants (58.2% female, median age 53.5), 210 (69.1%) had a PCS. Among these, 18.8% had slight to moderate functional limitations. Participants with PCS showed a significantly higher utilization of healthcare and a large proportion complained about lacking information on persistent COVID-19 symptoms and problems finding competent healthcare providers. The results indicate the need to optimize patient information on PCS, facilitate access to specialized healthcare providers, provide treatment options in the primary care setting and improve the education of healthcare providers.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Tobias D Warm
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Alexander Hyhlik-Dürr
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology-IBE, LMU Munich, 81377 Munich, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
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28
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Schmitz T, Freuer D, Linseisen J, Meisinger C. Associations between serum cholesterol and immuno-phenotypical characteristics of circulatory B cells and Tregs. J Lipid Res 2023:100399. [PMID: 37276940 PMCID: PMC10394386 DOI: 10.1016/j.jlr.2023.100399] [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: 04/03/2023] [Revised: 05/25/2023] [Accepted: 05/28/2023] [Indexed: 06/07/2023] Open
Abstract
Blood lipids play a major role in the manifestation of cardiovascular diseases. Recent research suggested that there are connections between cholesterol levels and immunological alterations. We investigated whether there is an association between serum cholesterol levels (total, HDL, LDL) and immune cells (B cell and regulatory T cells [Tregs]). The analysis was based on data from 231 participants of the MEGA study in Augsburg, Germany, recruited between 2018 and 2021. Most participants was examined two different times within a time period of 9 months. At every visit, fasting venous blood samples were taken. Immune cells were analyzed immediately afterwards using flow cytometry. Using multivariable-adjusted linear regression models, the associations between blood cholesterol concentrations and the relative quantity of several B cell and Treg subsets were analyzed. We found that particularly HDL cholesterol concentrations were significantly associated to some immune cell subpopulations: HDL cholesterol showed significant positive associations with the relative frequency of CD25++ Tregs (as proportion of all CD4+CD25++ T cells) and conventional Tregs (defined as the proportion of CD25+CD127- cells on all CD45RA- CD4+ T cells). Regarding B cells, HDL cholesterol values were inversely associated with the cell surface expression of IgD and with naïve B cells (CD27- IgD+ B cells). In conclusion, HDL cholesterol levels were associated with modifications in the composition of B cell and Tregs subsets demonstrating an important interconnection between lipid metabolism and immune system. Knowing that this association exists might be crucial for a deeper and more comprehensive understanding of the pathophysiology of atherosclerosis.
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Affiliation(s)
- T Schmitz
- Epidemiology, Medical Faculty, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany.
| | - D Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - J Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - C Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
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29
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Schmidbauer L, Kirchberger I, Goßlau Y, Warm TD, Hyhlik-Dürr A, Linseisen J, Meisinger C. The association between the number of symptoms and the severity of Post-COVID-Fatigue after SARS-CoV-2 infection treated in an outpatient setting. J Neurol 2023:10.1007/s00415-023-11752-9. [PMID: 37219607 DOI: 10.1007/s00415-023-11752-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Post-COVID-Fatigue (PCF) is one of the most reported symptoms following SARS-CoV-2 infection. Currently, research on persistent symptoms focuses mainly on severe infections, while outpatients are rarely included in observations. OBJECTIVE To investigate whether the severity of PCF is related to the number of acute and persistent symptoms due to mild-to-moderate COVID-19 and to compare the most common symptoms during acute infection with the persistent symptoms in PCF patients. METHODS A total of 425 participants were examined after COVID-19 treated as an outpatient (median 249 days [IQR: 135; 322] after acute disease) at the site of University Hospital Augsburg, Germany. The Fatigue Assessment Scale (FAS) was used to quantify the severity of PCF. The number of symptoms (maximum 41) during acute infection and persistent symptoms (during the last 14 days before examination) were added up to sum scores. Multivariable linear regression models were used to show the association between the number of symptoms and PCF. RESULTS Of the 425 participants, 37% (n = 157) developed PCF; most were women (70%). The median number of symptoms was significantly higher in the PCF group than in the non-PCF group at both time points. In multivariable linear regression models, both sum scores were associated with PCF (acute symptoms: β-estimate per additional symptom [95%-CI]: 0.48 [0.39; 0.57], p < 0.0001); persistent symptoms: β-estimate per additional symptom [95%-CI]: 1.18 [1.02; 1.34], p < 0.0001). The acute symptoms strongest associated with PCF severity were difficulty concentrating, memory problems, dyspnea or shortness of breath on exertion, palpitations, and problems with movement coordination. CONCLUSION Each additional symptom that occurs in COVID-19 increases the likelihood of suffering a higher severity of PCF. Further research is needed to identify the aetiology of PCF. TRIAL REGISTRATION Nr. NCT04615026. Date of registration: November 4, 2020.
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Affiliation(s)
- Lena Schmidbauer
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Marchioninistraße 15, 81377, Munich, Germany.
- Pettenkofer School of Public Health, Munich, Germany.
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
| | - Inge Kirchberger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Tobias D Warm
- Vascular Surgery, Medical Faculty, University of Augsburg, Augsburg, Germany
| | | | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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30
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Ahn N, Wawro N, Baumeister SE, Nolde M, Gerlach R, Tauscher M, Günter A, Güntner F, Rückert-Eheberg IM, Meisinger C, Linseisen J. Time-Varying Use of Proton Pump Inhibitors and Cognitive Impairment and Dementia: A Real-World Analysis from Germany. Drugs Aging 2023:10.1007/s40266-023-01031-7. [PMID: 37178361 DOI: 10.1007/s40266-023-01031-7] [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] [Subscribe] [Scholar Register] [Accepted: 04/10/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Cumulative evidence of dementia risk in patients taking proton pump inhibitors (PPIs) is still inconclusive, probably due to a variety of study designs. OBJECTIVE This study aimed to compare how the association between dementia risk and use of PPIs differs by different outcome and exposure definitions. METHODS We conceptualized a target trial using claims data with 7,696,127 individuals aged 40 years or older without previous dementia or mild cognitive impairment (MCI) from the Association of Statutory Health Insurance Physicians in Bavaria. Dementia was defined as either including or excluding MCI to compare how the results alter by different outcome definitions. We used weighted Cox models to estimate the PPI initiation effect on dementia risk and weighted pooled logistic regression to assess the effect of time-varying use versus non-use during 9 years of study period, including 1 year of wash-out period (2009-2018). The median follow-up time of PPI initiators and non-initiators was 5.4 and 5.8 years, respectively. We also evaluated the association between each PPI agent (omeprazole, pantoprazole, lansoprazole, esomeprazole, and combined use) and dementia risk. RESULTS A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk. A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk. CONCLUSION Our large study supports existing evidence that PPI use is related to an increased risk of dementia.
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Affiliation(s)
- Nayeon Ahn
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-University Munich, Munich, Germany.
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
| | - Nina Wawro
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | | | - Michael Nolde
- Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany
| | - Roman Gerlach
- Association of Statutory Health Insurance Physicians in Bavaria (Kassenärztliche Vereinigung Bayerns, KVB), Munich, Germany
| | - Martin Tauscher
- Association of Statutory Health Insurance Physicians in Bavaria (Kassenärztliche Vereinigung Bayerns, KVB), Munich, Germany
| | | | | | - Ina-Maria Rückert-Eheberg
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-University Munich, Munich, Germany
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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Hellbach F, Sinke L, Costeira R, Baumeister SE, Beekman M, Louca P, Leeming ER, Mompeo O, Berry S, Wilson R, Wawro N, Freuer D, Hauner H, Peters A, Winkelmann J, Koenig W, Meisinger C, Waldenberger M, Heijmans BT, Slagboom PE, Bell JT, Linseisen J. Pooled analysis of epigenome-wide association studies of food consumption in KORA, TwinsUK and LLS. Eur J Nutr 2023; 62:1357-1375. [PMID: 36571600 PMCID: PMC10030421 DOI: 10.1007/s00394-022-03074-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 12/12/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE Examining epigenetic patterns is a crucial step in identifying molecular changes of disease pathophysiology, with DNA methylation as the most accessible epigenetic measure. Diet is suggested to affect metabolism and health via epigenetic modifications. Thus, our aim was to explore the association between food consumption and DNA methylation. METHODS Epigenome-wide association studies were conducted in three cohorts: KORA FF4, TwinsUK, and Leiden Longevity Study, and 37 dietary exposures were evaluated. Food group definition was harmonized across the three cohorts. DNA methylation was measured using Infinium MethylationEPIC BeadChip in KORA and Infinium HumanMethylation450 BeadChip in the Leiden study and the TwinsUK study. Overall, data from 2293 middle-aged men and women were included. A fixed-effects meta-analysis pooled study-specific estimates. The significance threshold was set at 0.05 for false-discovery rate-adjusted p values per food group. RESULTS We identified significant associations between the methylation level of CpG sites and the consumption of onions and garlic (2), nuts and seeds (18), milk (1), cream (11), plant oils (4), butter (13), and alcoholic beverages (27). The signals targeted genes of metabolic health relevance, for example, GLI1, RPTOR, and DIO1, among others. CONCLUSION This EWAS is unique with its focus on food groups that are part of a Western diet. Significant findings were mostly related to food groups with a high-fat content.
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Affiliation(s)
- Fabian Hellbach
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
| | - Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Sebastian-Edgar Baumeister
- Institute of Health Services Research in Dentistry, Medical Faculty, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Panayiotis Louca
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Emily R Leeming
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Olatz Mompeo
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Sarah Berry
- Department of Nutritional Sciences, King's College London, London, UK
| | - Rory Wilson
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Nina Wawro
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Ingolstädter Landstr. 1, 85764, Munich-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (HmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336, Munich, Germany
- German Heart Centre Munich, Technical University Munich, Lazarettstr. 36, 80636, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Helmholtzstr. 22, 89081, Ulm, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Ingolstädter Landstr. 1, 85764, Munich-Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336, Munich, Germany
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
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Kirchberger I, Meisinger C, Freuer D, Leone V, Ertl M, Zickler P, Naumann M, Linseisen J. Association between fatigue and cytokine profiles in patients with ischemic stroke. Front Neurol 2023; 13:1075383. [PMID: 36756348 PMCID: PMC9899860 DOI: 10.3389/fneur.2022.1075383] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023] Open
Abstract
Background Chronic fatigue is a common symptom after a stroke. Studies suggested that chronic fatigue is caused by inflammatory or immunological processes but data are limited and contradictory. Thus, the present study aimed to identify specific biomarkers associated with fatigue in post-stroke patients and replicated the findings in a population-based study. Methods We investigated associations between 39 circulating biomarkers of inflammation and fatigue in 327 patients after an ischemic stroke included in the Stroke Cohort Augsburg (SCHANA) study and the "Metabolism, Nutrition and Immune System in Augsburg" (MEIA) study (n = 140). The Fatigue Assessment Scale (FAS) was used to assess the severity of fatigue. The serum concentrations of the biomarkers were measured using the Bio-Plex Pro™ Human Cytokine Screening Panel (Bio-Rad, USA). Multiple linear regression models adjusted for possible confounders were used to examine associations. Results In patients with stroke, SCGFb was inversely associated [-1.67, 95% confidence interval (CI) (-3.05; -0.29) p = 0.018], and in healthy subjects, G-CSF was positively associated [1.56, 95% CI (0.26; 2.87), p = 0.020] with an increasing FAS-score, while SCF was positively related in both samples [1.84, 95% CI (0.27; 3.42), p = 0.022 and 1.40, 95% CI (0.29; 2.52), p = 0.015]. However, after correction for multiple testing, all of these associations lost statistical significance. Conclusion The present findings suggested an association between the growth factor SCF and fatigue. Future research on cytokines as possible markers of fatigue should focus on a longitudinal design including a sufficiently large number of study participants to enable testing associations between certain cytokines and sub-groups of chronic fatigue.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.,Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Vincenza Leone
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Michael Ertl
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Philipp Zickler
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Markus Naumann
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.,Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany
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Ahn N, Nolde M, Krause E, Güntner F, Günter A, Tauscher M, Gerlach R, Meisinger C, Linseisen J, Baumeister SE, Rückert-Eheberg IM. Do proton pump inhibitors increase the risk of dementia? A systematic review, meta-analysis and bias analysis. Br J Clin Pharmacol 2023; 89:602-616. [PMID: 36331350 DOI: 10.1111/bcp.15583] [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: 03/07/2022] [Revised: 08/08/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
AIM Previous studies on the association between proton pump inhibitor (PPI) intake and the increased risk of dementia has shown discrepancies in their conclusions. We aimed to provide updated evidence based on extensive bias assessments and quantitative sensitivity analyses. METHODS We searched the databases PubMed, EMBASE, SCOPUS, CENTRAL and clinicaltrials.gov for prospective studies that examined an association between PPI use and dementia, up to February 2022. Each study was assessed using the Cochrane risk of bias assessment tools for non-randomized studies of interventions (ROBINS-I) or randomized trials (RoB2). Pooled risk ratios (RRs) and 95% prediction intervals were computed using random-effects models. Sensitivity analyses were adjusted for small-study bias. RESULTS We included nine observational studies with 204 108 dementia cases in the primary analysis on the association between PPI use vs. non-use and dementia, and the RR was 1.16 (95% CI = 1.00; 1.35). After adjusting for small-study bias by Copas selection model and Rücker's shrinkage procedure, the RR was 1.16 (1.02; 1.32) and 1.15 (1.13; 1.17), respectively. A subgroup analysis of PPI use vs. non-use regarding Alzheimer's disease risk yielded an RR of 1.15 (0.89; 1.50). The secondary analysis on the risk of dementia by use of PPI vs. histamine-2 receptor antagonist showed an RR of 1.03 (0.66; 1.62). CONCLUSION This meta-analysis provided no clear evidence for an association between PPI intake and the risk of dementia. Due to discrepancies in sensitivity analyses, however, some risk of dementia by PPI use cannot be ruled out. Since an unequivocal conclusion is still pending, further research is warranted.
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Affiliation(s)
- Nayeon Ahn
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig Maximilian University of Munich, Munich, Germany
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Michael Nolde
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig Maximilian University of Munich, Munich, Germany
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Evamaria Krause
- Medical Library, Augsburg University Library, University of Augsburg, Augsburg, Germany
| | | | | | - Martin Tauscher
- Association of Statutory Health Insurance Physicians in Bavaria, Kassenärztliche Vereinigung Bayerns, KVB, Munich, Germany
| | - Roman Gerlach
- Association of Statutory Health Insurance Physicians in Bavaria, Kassenärztliche Vereinigung Bayerns, KVB, Munich, Germany
| | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig Maximilian University of Munich, Munich, Germany
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | | | - Ina-Maria Rückert-Eheberg
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig Maximilian University of Munich, Munich, Germany
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
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Iglesias Morcillo M, Freuer D, Peters A, Heier M, Meisinger C, Linseisen J. Body Mass Index and Waist Circumference as Determinants of Hemostatic Factors in Participants of a Population-Based Study. Medicina (Kaunas) 2023; 59:228. [PMID: 36837430 PMCID: PMC9962601 DOI: 10.3390/medicina59020228] [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] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 01/28/2023]
Abstract
Background: In contrast to studies in patients, an association between obesity and blood coagulation factors has not been established in the population. If confirmed it could become a target for primary prevention. Objective: To investigate the relationship between Body Mass Index (BMI) and waist circumference (WC) with plasma concentrations of antithrombin III, D-dimers, fibrinogen D, protein S, factor VIII, activated partial thromboplastin time (aPTT), quick value, and international normalized ratio (INR) in the general population. Materials and Methods: Participants of the Cooperative Health Research in the Region of Augsburg (KORA) S4 study who took part in the KORA Fit follow-up (2018-2019, aged 54-74 years) examination were eligible. Citrate plasma samples were collected in fasted participants. After the exclusion of participants with anticoagulative treatment, 776 participants (420 women and 356 men) with analytic data on hemostatic factors were included in the present analysis. Linear regression models were used to explore the association between BMI or WC with hemostatic markers, adjusted for sex, age, alcohol consumption, education, smoking status, and physical activity. In a second model, additional adjustments were made for the prevalence of stroke, hypertension, myocardial infarction, serum non-HDL cholesterol, and serum triglycerides. Results: In the multivariable models (with or without health conditions), significant positive associations with BMI were obtained for plasma concentrations of D-dimers, factor VIII, fibrinogen D, protein S, and quick value, while INR and antithrombin III were inversely associated. Similar to BMI, WC was significantly associated with all hemostatic factors, except for aPTT. Conclusion: In this population-based study, both increasing BMI and WC affect the blood coagulation system. Thus, modification of a prothrombotic coagulation profile emerged as a potential target for primary prevention in obese subjects.
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Affiliation(s)
| | - Dennis Freuer
- Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, 81377 München, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- KORA Study Centre, University Hospital Augsburg, 86156 Augsburg, Germany
| | | | - Jakob Linseisen
- Chair of Epidemiology, University of Augsburg, 86156 Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, 81377 München, Germany
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Vogel von Falckenstein J, Freuer D, Peters A, Heier M, Linseisen J, Meisinger C. Sex-specific associations between systolic, diastolic and pulse pressure and hemostatic parameters in the population-based KORA-Fit study: a cross-sectional study. Thromb J 2023; 21:7. [PMID: 36658589 PMCID: PMC9850515 DOI: 10.1186/s12959-023-00451-0] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 01/11/2023] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Several prior studies postulated an effect of hypertension on coagulation factors. However, population-based studies investigating the sex-specific associations between hypertension and hemostatic parameters are scarce. Therefore, we investigated the relationship between blood pressure and parameters of coagulation, namely activated partial thromboplastin time (aPTT), international normalized ratio (INR), fibrinogen, factor VIII, antithrombin III, protein C, protein S, and D-dimer in men and women from the general population. METHODS Based on 803 participants (376 men, 427 women) from the KORA-Fit Study the sex-specific relationship between systolic, diastolic, and pulse pressure and commonly measured coagulation factors were investigated using multivariable-adjusted linear regression models. RESULTS Hypertensive males had significantly higher median fibrinogen levels and factor VIII activity in comparison to normotensive males. There was a statistically significant difference between females with and without hypertension regarding the parameter fibrinogen, D-dimers, Protein S activity, and factor VIII activity. In multivariable linear regression analyses no significant association between systolic blood pressure, diastolic blood pressure, as well as pulse pressure and the investigated hemostatic parameters was found in men. In women, a significant positive association could be observed between systolic blood pressure and D-dimer level [β-estimate per mmHg increase 3.37 (95% CI 0.935-5.804; p = 0.007)] and between pulse pressure and D-dimer level [β-estimate per mmHg increase 5.351 (95% CI 1.772-8.930; p = 0.003)]. CONCLUSIONS It appears that sex differences exist in the association between blood pressure parameters and commonly measured coagulation markers in the general population. Further studies are needed to identify the underlying causes.
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Affiliation(s)
- J. Vogel von Falckenstein
- grid.7307.30000 0001 2108 9006Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
| | - D. Freuer
- grid.7307.30000 0001 2108 9006Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
| | - A. Peters
- Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany ,grid.5252.00000 0004 1936 973XInstitute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany ,grid.452396.f0000 0004 5937 5237German Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - M. Heier
- Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany ,grid.419801.50000 0000 9312 0220KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - J. Linseisen
- grid.7307.30000 0001 2108 9006Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
| | - C. Meisinger
- grid.7307.30000 0001 2108 9006Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
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Kirchberger I, Peilstöcker D, Warm TD, Linseisen J, Hyhlik-Dürr A, Meisinger C, Goßlau Y. Subjective and Objective Cognitive Impairments in Non-Hospitalized Persons 9 Months after SARS-CoV-2 Infection. Viruses 2023; 15:256. [PMID: 36680296 PMCID: PMC9865483 DOI: 10.3390/v15010256] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
Studies on cognitive problems of persons with mild COVID-19 courses are still lacking. This study aimed to determine the frequency and associated factors of subjective and objective cognitive problems after COVID-19 in non-hospitalized persons. Study participants were examined at the University Hospital of Augsburg from 04/11/2020 to 26/05/2021. The Wechsler Adult Intelligence Scale (WAIS) IV digit span, Stroop Color and Word Test (SCWT), Regensburger verbal fluency test (RWT) and, subjective ratings of memory and concentration were applied. Of the 372 participants (mean age 46.8 ± 15.2 years, 54.3% women, median time after infection 9.1 months), 24.9% reported concentration and 21.9% memory problems. Overall, 55.6% of the participants had at least a mild negative alteration in any cognitive test. The strongest impairments were found regarding memory functions (41.1% mild alterations, 6.2% distinct impairments) and verbal fluency (12.4% mild alterations, 5.4% distinct impairments). SCWT showed negative alterations in no more than 3.0% of the participants. Level of school education, age, and depressiveness emerged as significantly related to the cognitive tests. The number of complaints and depressiveness were significantly associated with subjective memory and concentration problems. It is important to identify mild cognitive impairment in non-hospitalized COVID-19 patients early to offer them effective interventions.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, LMU Munich, 81377 Munich, Germany
| | - Daniela Peilstöcker
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - Tobias D. Warm
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology—IBE, LMU Munich, 81377 Munich, Germany
| | - Alexander Hyhlik-Dürr
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany
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von Falckenstein JV, Freuer D, Peters A, Heier M, Teupser D, Linseisen J, Meisinger C. Sex-specific associations between serum lipids and hemostatic factors: the cross-sectional population-based KORA-fit study. Lipids Health Dis 2022; 21:143. [PMID: 36544148 PMCID: PMC9768912 DOI: 10.1186/s12944-022-01757-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Studies on the associations between lipid parameters and different hemostatic factors in men and women from the general population are scarce. It was therefore examined whether there are possible relationships between routinely measured serum lipids (total cholesterol, HDL-cholesterol, non-HDL-cholesterol, LDL-cholesterol, and triglycerides) and different hemostatic factors (activated partial thromboplastin time (aPTT), fibrinogen, factor VIII, antithrombin III (AT III), protein C, protein S, and D-dimer). METHODS The analysis was based on data from the Cooperative Health Research in the Region of Augsburg (KORA)-Fit study, which included 805 participants (378 men, 427 women) with a mean age of 63.1 years. Sex-specific associations between serum lipids and coagulation factors were investigated using multivariable linear regression models. RESULTS In men, total cholesterol was inversely related to aPTT but positively associated with protein C activity. HDL cholesterol was inversely related to aPTT and fibrinogen. LDL cholesterol, non-HDL cholesterol, and triglycerides showed a positive association with protein C and protein S activity. In women, LDL-cholesterol, total cholesterol, and non-HDL-cholesterol were positively related to AT III concentrations and protein C and S activity. Additionally, non-HDL-cholesterol was positively associated with factor VIII activity. HDL cholesterol was inversely related to fibrinogen. Triglycerides showed a positive relationship with protein C activity. CONCLUSIONS There seem to be sex differences regarding various associations between blood lipid levels and hemostatic factors. Further studies are needed to address the possible impact of these associations on cardiovascular risk and the underlying mechanisms.
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Affiliation(s)
- Johannes Vogel von Falckenstein
- grid.7307.30000 0001 2108 9006Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
| | - Dennis Freuer
- grid.7307.30000 0001 2108 9006Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
| | - Annette Peters
- Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany ,grid.5252.00000 0004 1936 973XInstitute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany ,grid.452396.f0000 0004 5937 5237German Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Margit Heier
- Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany ,grid.419801.50000 0000 9312 0220KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - Daniel Teupser
- grid.5252.00000 0004 1936 973XInstitute for Laboratory Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jakob Linseisen
- grid.7307.30000 0001 2108 9006Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany ,grid.5252.00000 0004 1936 973XInstitute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christa Meisinger
- grid.7307.30000 0001 2108 9006Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, 86156 Augsburg, Germany
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Schmitz T, Harmel E, Linseisen J, Kirchberger I, Heier M, Peters A, Meisinger C. Shock index and modified shock index are predictors of long-term mortality not only in STEMI but also in NSTEMI patients. Ann Med 2022; 54:900-908. [PMID: 35377282 PMCID: PMC8986179 DOI: 10.1080/07853890.2022.2056240] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Shock index (SI) and modified shock index (mSI) are useful instruments for early risk stratification in acute myocardial infarction (AMI) patients. They are strong predictors for short-term mortality. Nevertheless, the association between SI or mSI and long-term mortality in AMI patients has not yet been sufficiently examined. MATERIAL AND METHODS For this study, a total of 10,174 patients with AMI was included. All cases were prospectively recorded by the population-based Augsburg Myocardial Infarction Registry from 2000 until 2017. Endpoint was all-cause mortality with a median observational time of 6.5 years [IQR: 3.5-7.4]. Using ROC analysis and calculating Youden-Index, the sample was dichotomized into a low and a high SI and mSI group, respectively. Moreover, multivariable adjusted COX regression models were calculated. All analyses were performed for the total sample as well as for STEMI and NSTEMI cases separately. RESULTS Optimal cut-off values were 0.580 for SI and 0.852 for mSI (total sample). AUC values were 0.6382 (95% CI: 0.6223-0.6549) for SI and 0.6552 (95% CI: 0.6397-0.6713) for mSI. Fully adjusted COX regression models revealed significantly higher long-term mortality for patients with high SI and high mSI compared to patients with low indices (high SI HR: 1.42 [1.32-1.52], high mSI HR: 1.46 [1.36-1.57]). Furthermore, the predictive ability was slightly better for mSI compared to SI and more reliable in NSTEMI cases compared to STEMI cases (for SI and mSI). CONCLUSION High SI and mSI are useful tools for early risk stratification including long-term outcome especially in NSTEMI cases, which can help physicians to make decision on therapy. NSTEMI patients with high SI and mSI might especially benefit from immediate invasive therapy.Key messagesShock index and modified shock index are predictors of long-term mortality after acute myocardial infarction.Both indices predict long-term mortality not only for STEMI cases, but even more so for NSTEMI cases.
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Affiliation(s)
- Timo Schmitz
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Eva Harmel
- Department of Cardiology, University Hospital of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany.,IRG Clinical Epidemiology, Helmholtz Zentrum München, Munich Germany
| | - Inge Kirchberger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Margit Heier
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, Munich Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Munich Germany.,Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
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Nolde M, Ahn N, Dreischulte T, Krause E, Güntner F, Günter A, Gerlach R, Tauscher M, Amann U, Linseisen J, Meisinger C, Baumeister SE, Rückert-Eheberg IM. Proton pump inhibitors and the risk of cardiovascular events and cardiovascular mortality: A systematic review and meta-analysis of observational studies. Eur J Intern Med 2022; 106:80-89. [PMID: 36195531 DOI: 10.1016/j.ejim.2022.09.021] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 09/23/2022] [Accepted: 09/26/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND AIMS Observational research has indicated that proton pump inhibitors (PPIs) might increase the long-term risk of cardiovascular events. This study evaluated the evidence from observational studies for an effect of PPI monotherapy on the risk of incident cardiovascular events and cardiovascular mortality. METHODS The databases MEDLINE, EMBASE, and Scopus were systematically searched up to September 2021. The primary outcome was first cardiovascular event, i.e. first myocardial infarction or first ischaemic stroke. The secondary outcome was cardiovascular mortality. Studies were included following a detailed risk of bias assessment with the ROBINS-I tool. Sensitivity and bias analyses adjusted for potential publication bias, immortal time bias, and unmeasured confounding. RESULTS We included ten studies with 75,371 first cardiovascular events, as well as seven studies on cardiovascular mortality with 50,329 cardiovascular deaths in total. The pooled hazard ratios (HRs) for PPI use and cardiovascular events were 1.05 with a 95% confidence interval of (0.96; 1.15) before and 0.99 (0.93; 1.04) after adjusting for observational study design bias. The pooled HRs for PPI use and cardiovascular mortality were 1.27 (1.11; 1.44) before and 1.06 (0.96; 1.16) after adjusting for publication bias and observational study design bias. CONCLUSION It is questionable, whether PPI monotherapy constitutes a cardiovascular risk factor.
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Affiliation(s)
- Michael Nolde
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany; Chair of Epidemiology, University of Augsburg, at University Hospital Augsburg, Augsburg, Germany.
| | - Nayeon Ahn
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany; Chair of Epidemiology, University of Augsburg, at University Hospital Augsburg, Augsburg, Germany
| | - Tobias Dreischulte
- Department of General Practice and Family Medicine, LMU Munich, Munich, Germany
| | - Evamaria Krause
- Medical Library, Augsburg University Library, Augsburg, Germany
| | | | | | - Roman Gerlach
- Association of Statutory Health Insurance Physicians in Bavaria (Kassenärztliche Vereinigung Bayerns, KVB), Munich, Germany
| | - Martin Tauscher
- Association of Statutory Health Insurance Physicians in Bavaria (Kassenärztliche Vereinigung Bayerns, KVB), Munich, Germany
| | - Ute Amann
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany; Chair of Epidemiology, University of Augsburg, at University Hospital Augsburg, Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, at University Hospital Augsburg, Augsburg, Germany
| | | | - Ina-Maria Rückert-Eheberg
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich, Munich, Germany; Chair of Epidemiology, University of Augsburg, at University Hospital Augsburg, Augsburg, Germany
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Shugaa Addin N, Schlett CL, Bamberg F, Thorand B, Linseisen J, Seissler J, Peters A, Rospleszcz S. Subclinical Cardiovascular Disease Markers in Relation to Serum and Dietary Magnesium in Individuals from the General Population: The KORA-MRI Study. Nutrients 2022; 14:nu14234954. [PMID: 36500983 PMCID: PMC9741061 DOI: 10.3390/nu14234954] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022] Open
Abstract
Several studies have implied a role of magnesium in the development of cardiovascular disease (CVD). Thus, magnesium might serve as a potential risk marker for early CVD. Therefore, we investigated the association of serum magnesium and dietary magnesium intake with markers of subclinical CVD in a population-based study. We used cross-sectional data from the sub-study of the Cooperative Health Research in the Region of Augsburg (KORA-FF4). Markers of subclinical CVD, namely, left and right ventricular structure and function and carotid plaque and carotid wall thickness, were derived by magnetic resonance imaging (MRI). Multivariable-adjusted regression models were applied to assess the relationship between serum and dietary magnesium and MRI-derived subclinical CVD markers. Among 396 included participants (mean age: 56.3 ± 9.2 years; 57.8% male), 181 (45.7%) had low serum magnesium levels (<2.07 mg/dL). Among 311 subjects with complete dietary data (mean age: 56.3 ± 9.1 years; 56.3% male), 154 (49.5%) had low dietary magnesium intake (≤155.2 mg/1000 kcal/day). Serum and dietary magnesium were not correlated (p-value = 0.5). Serum magnesium was significantly associated with presence of carotid plaque (OR 1.62, p-value 0.033). Dietary magnesium was associated with higher left ventricular end-systolic and end-diastolic volume (0.04 mL/m2, 0.06 mL/m2; p-value 0.011, 0.013, respectively), and also with a decrease in left ventricular remodeling index and mean diastolic wall thickness (−0.001 g/mL/m2, −0.002 mm/m2; p-value 0.004, 0.029, respectively). In summary, there was no consistent association of serum and dietary magnesium with imaging markers of subclinical CVD.
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Affiliation(s)
- Nuha Shugaa Addin
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität (LMU), 85764 München, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Christopher L. Schlett
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Jakob Linseisen
- Epidemiology, University Hospital of Augsburg, University of Augsburg, 86159 Augsburg, Germany
| | - Jochen Seissler
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- Diabetes Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, 80336 München, Germany
| | - Annette Peters
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität (LMU), 85764 München, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Munich Heart Alliance, 80802 München, Germany
| | - Susanne Rospleszcz
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität (LMU), 85764 München, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Munich Heart Alliance, 80802 München, Germany
- Correspondence: ; Tel.: +49-089-3187-4234
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Schmitz T, Harmel E, Heier M, Peters A, Linseisen J, Meisinger C. Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction. J Transl Med 2022; 20:457. [PMID: 36209229 PMCID: PMC9547640 DOI: 10.1186/s12967-022-03644-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/18/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). METHODS In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. RESULTS The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735-0.89], GRACE score AUC: 0.7961 [CI: 0.6965-0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269-0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192-0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016-0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. CONCLUSIONS Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy.
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Affiliation(s)
- T. Schmitz
- grid.419801.50000 0000 9312 0220Epidemiology, Medical Faculty, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - E. Harmel
- grid.419801.50000 0000 9312 0220Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - M. Heier
- grid.419801.50000 0000 9312 0220University Hospital of Augsburg, KORA Study Centre, Augsburg, Germany ,Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - A. Peters
- Helmholtz Zentrum München, Institute for Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany ,grid.5252.00000 0004 1936 973XChair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany ,grid.452622.5German Center for Diabetes Research (DZD), Neuherberg, Germany ,grid.452396.f0000 0004 5937 5237German Research Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - J. Linseisen
- grid.419801.50000 0000 9312 0220Epidemiology, Medical Faculty, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - C. Meisinger
- grid.419801.50000 0000 9312 0220Epidemiology, Medical Faculty, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
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Dahal C, Wawro N, Meisinger C, Brandl B, Skurk T, Volkert D, Hauner H, Linseisen J. Evaluation of the metabotype concept after intervention with oral glucose tolerance test and dietary fiber-enriched food: An enable study. Nutr Metab Cardiovasc Dis 2022; 32:2399-2409. [PMID: 35850752 DOI: 10.1016/j.numecd.2022.06.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 01/14/2022] [Revised: 05/19/2022] [Accepted: 06/10/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS Evidence suggests that people react differently to the same diet due to inter-individual differences. However, few studies have investigated variation in response to dietary interventions based on individuals' baseline metabolic characteristics. This study aims to examine the differential reaction of metabotype subgroups to an OGTT and a dietary fiber intervention. METHODS AND RESULTS We assigned 356 healthy participants of an OGTT sub-study and a 12-week dietary fiber intervention sub-study within the enable cluster to three metabotype subgroups previously identified in the KORA F4 study population. To explore the association between plasma glucose level and metabotype subgroups, we used linear mixed models adjusted for age, sex, and physical activity. Individuals in different metabotype subgroups showed differential responses to OGTT. Compared to the healthy metabotype (metabotype 1), participants in intermediate metabotype (metabotype 2) and unfavorable metabotype (metabotype 3) had significantly higher plasma glucose concentrations at 120 min after glucose bolus (β = 7.881, p = 0.005; β = 32.79, p < 0.001, respectively). Additionally, the linear regression model showed that the Area under the curve (AUC) of plasma glucose concentrations was significantly different across the metabotype subgroups. The associations between metabotype subgroups and metabolic parameters among fiber intervention participants remained insignificant in the multivariate-adjusted linear model. However, the metabotype 3 had the highest mean reduction in insulin, cholesterol parameters (TC, LDLc, and non-HDLc), and systolic and diastolic blood pressure at the end of the intervention period. CONCLUSION This study supports the use of the metabotype concept to identify metabolically similar subgroups and to develop targeted dietary interventions at the metabotype subgroup level for the primary prevention of diet-related diseases.
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Affiliation(s)
- Chetana Dahal
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - Nina Wawro
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
| | - Beate Brandl
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Thomas Skurk
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany; ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Dorothee Volkert
- Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany; Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany
| | - Jakob Linseisen
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377 München, Germany.
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Freuer D, Linseisen J, Meisinger C. Association Between Inflammatory Bowel Disease and Both Psoriasis and Psoriatic Arthritis: A Bidirectional 2-Sample Mendelian Randomization Study. JAMA Dermatol 2022; 158:2795925. [PMID: 36103169 PMCID: PMC9475439 DOI: 10.1001/jamadermatol.2022.3682] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/12/2022] [Indexed: 10/07/2023]
Abstract
Importance Psoriasis, psoriatic arthritis, and inflammatory bowel disease, ie, Crohn disease and ulcerative colitis, are chronic systemic immune-mediated disorders affecting an increasing proportion of adults and children worldwide. Observational studies have suggested an association between inflammatory bowel disease and psoriasis and vice versa. So far, however, it remains unclear whether and in which direction causal relationships exist. Objective To investigate the association between inflammatory bowel disease, particularly Crohn disease and ulcerative colitis, and psoriasis or psoriatic arthritis. Design, Setting, and Participants A bidirectional 2-sample mendelian randomization study was conducted using summary statistics from genome-wide association studies including up to 463 372 European individuals. Total and direct effects were derived performing an iterative radial and robust inverse-variance weighted method within the univariable and multivariable mendelian randomization setting, respectively. Causal estimates were verified using a validation inflammatory bowel disease sample, a series of pleiotropy-robust mendelian randomization methods, and sensitivity analyses based on a PhenoScanner search in conjunction with network analysis. Data analysis was performed from April to May 2022. Main Outcomes and Measures Inflammatory bowel disease, Crohn disease, ulcerative colitis, psoriasis, and psoriatic arthritis were used as both exposures and outcomes. Results The European samples included 12 882 cases of inflammatory bowel disease and 5621 cases of psoriasis. The proportion of women ranged between 48% and 56%. Genetically predicted inflammatory bowel disease was associated with higher risk of psoriasis (pooled odds ratio [OR], 1.10; 95% CI, 1.05-1.15; P < .001) and psoriatic arthritis (pooled OR, 1.10; 95% CI, 1.04-1.18; P = .003). In contrast with ulcerative colitis, the Crohn disease subentity was associated with psoriasis (OR, 1.16; 95% CI, 1.12-1.20; P < .001) and psoriatic arthritis (OR, 1.13; 95% CI, 1.06-1.20; P < .001). Regarding the reverse directions, no notable associations could be found. Conclusions and Relevance Findings of this mendelian randomization study support a causal effect between inflammatory bowel disease and psoriasis as well as psoriatic arthritis, but not vice versa. It seems that especially Crohn disease and not ulcerative colitis is responsible for the causal effect of inflammatory bowel disease on both psoriasis outcomes. These findings have implications for the management of inflammatory bowel disease and psoriasis in clinical practice.
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Affiliation(s)
- Dennis Freuer
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology – IBE, LMU Munich, Munich, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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Breuninger TA, Wawro N, Freuer D, Reitmeier S, Artati A, Grallert H, Adamski J, Meisinger C, Peters A, Haller D, Linseisen J. Fecal Bile Acids and Neutral Sterols Are Associated with Latent Microbial Subgroups in the Human Gut. Metabolites 2022; 12:metabo12090846. [PMID: 36144250 PMCID: PMC9504437 DOI: 10.3390/metabo12090846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/31/2022] [Accepted: 09/05/2022] [Indexed: 11/28/2022] Open
Abstract
Bile acids, neutral sterols, and the gut microbiome are intricately intertwined and each affects human health and metabolism. However, much is still unknown about this relationship. This analysis included 1280 participants of the KORA FF4 study. Fecal metabolites (primary and secondary bile acids, plant and animal sterols) were analyzed using a metabolomics approach. Dirichlet regression models were used to evaluate associations between the metabolites and twenty microbial subgroups that were previously identified using latent Dirichlet allocation. Significant associations were identified between 12 of 17 primary and secondary bile acids and several of the microbial subgroups. Three subgroups showed largely positive significant associations with bile acids, and six subgroups showed mostly inverse associations with fecal bile acids. We identified a trend where microbial subgroups that were previously associated with “healthy” factors were here inversely associated with fecal bile acid levels. Conversely, subgroups that were previously associated with “unhealthy” factors were positively associated with fecal bile acid levels. These results indicate that further research is necessary regarding bile acids and microbiota composition, particularly in relation to metabolic health.
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Affiliation(s)
- Taylor A. Breuninger
- Chair of Epidemiology, University Hospital Augsburg, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany
- Correspondence:
| | - Nina Wawro
- Chair of Epidemiology, University Hospital Augsburg, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany
- Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Dennis Freuer
- Chair of Epidemiology, University Hospital Augsburg, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany
| | - Sandra Reitmeier
- Chair of Nutrition and Immunology, Technische Universität München, Gregor-Mendel-Str. 2, 85354 Freising, Germany
- ZIEL—Institute for Food & Health, Technische Universität München, Weihenstephaner Berg 3, 85354 Freising, Germany
| | - Anna Artati
- Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Metabolomics and Proteomics Core, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Harald Grallert
- Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
| | - Christa Meisinger
- Chair of Epidemiology, University Hospital Augsburg, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany
| | - Annette Peters
- Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Dirk Haller
- Chair of Nutrition and Immunology, Technische Universität München, Gregor-Mendel-Str. 2, 85354 Freising, Germany
- ZIEL—Institute for Food & Health, Technische Universität München, Weihenstephaner Berg 3, 85354 Freising, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Hospital Augsburg, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany
- ZIEL—Institute for Food & Health, Technische Universität München, Weihenstephaner Berg 3, 85354 Freising, Germany
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Schmitz T, Freuer D, Harmel E, Heier M, Peters A, Linseisen J, Meisinger C. Prognostic value of stress hyperglycemia ratio on short- and long-term mortality after acute myocardial infarction. Acta Diabetol 2022; 59:1019-1029. [PMID: 35532812 PMCID: PMC9242951 DOI: 10.1007/s00592-022-01893-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [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: 12/13/2021] [Accepted: 04/09/2022] [Indexed: 01/08/2023]
Abstract
AIMS Prior studies demonstrated an association between hospital admission blood glucose and mortality in acute myocardial infarction (AMI). Because stress hyperglycemia ratio (SHR) has been suggested as a more reliable marker of stress hyperglycemia this study investigated to what extent SHR in comparison with admission blood glucose is associated with short- and long-term mortality in diabetic and non-diabetic AMI patients. METHODS The analysis was based on 2,311 AMI patients aged 25-84 years from the population-based Myocardial Infarction Registry Augsburg (median follow-up time 6.5 years [IQR: 4.9-8.1]). The SHR was calculated as admission glucose (mg/dl)/(28.7 × HbA1c (%)-46.7). Using logistic and COX regression analyses the associations between SHR and admission glucose and mortality were investigated. RESULT Higher admission glucose and higher SHR were significantly and nonlinearly associated with higher 28-day mortality in AMI patients with and without diabetes. In patients without diabetes, the AUC for SHR was significantly lower than for admission glucose (SHR: 0.6912 [95%CI 0.6317-0.7496], admission glucose: 0.716 [95%CI 0.6572-0.7736], p-value: 0.0351). In patients with diabetes the AUCs were similar for SHR and admission glucose. Increasing admission glucose and SHR were significantly nonlinearly associated with higher 5-year all-cause mortality in AMI patients with diabetes but not in non-diabetic patients. AUC values indicated a comparable prediction of 5-year mortality for both measures in diabetic and non-diabetic patients. CONCLUSIONS Stress hyperglycemia in AMI patients plays a significant role mainly with regard to short-term prognosis, but barely so for long-term prognosis, underlining the assumption that it is a transient dynamic disorder that occurs to varying degrees during the acute event, thereby affecting prognosis.
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Affiliation(s)
- T Schmitz
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
| | - D Freuer
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - E Harmel
- Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany
| | - M Heier
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
- Institute for Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - A Peters
- Institute for Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - J Linseisen
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - C Meisinger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
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Ponce-de-Leon M, Hannemann A, Linseisen J, Nauck M, Lerch MM, Bülow R, Völzke H, Friedrich N, Kassubek J, Müller HP, Baumeister SE, Meisinger C. Links between ectopic and abdominal fat and systemic inflammation: New insights from the SHIP-Trend study. Dig Liver Dis 2022; 54:1030-1037. [PMID: 35232676 DOI: 10.1016/j.dld.2022.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 11/08/2021] [Revised: 01/27/2022] [Accepted: 02/01/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Excessive fat accumulation in adipose tissue depots and organs such as the pancreas and the liver is associated with systemic low-grade chronic inflammation. AIMS To investigate the association between abdominal, hepatic, and pancreatic fat and the circulating level of inflammatory biomarkers. METHODS We used data from a subsample of the Study of Health in Pomerania (SHIP-Trend, n = 469). The plasma concentration of 37 inflammatory biomarkers was measured using the Bio-Plex-Pro™-Human-Inflammation-Panel-1. Subcutaneous and visceral adipose tissue (SAT and VAT), as well as hepatic and pancreatic fat, were determined by magnetic resonance imaging. We assessed the associations between fat content and inflammatory biomarkers using multiple linear regression. RESULTS Hepatic fat was associated with MMP-2 (β -0.11), PTX3 (β -0.14), and TNFSF12 (β -0.06). Pancreatic fat was associated with sTNFR1 (β 0.15), sTNFR2 (β 0.11), and sCD163 (β 0.13). VAT and SAT were associated with sCD163 (βVAT 0.20, βSAT 0.16), MMP-2 (βVAT -0.12, βSAT -0.10), OSTCN (βVAT -0.16, βSAT -0.10), sTNFR1 (βVAT 0.13, βSAT 0.13), sTNFR2 (βVAT 0.13, βSA 0.12), TNFSF12 (βVAT -0.11, βSAT -0.08), and TNFSF14 (βVAT 0.21, βSAT 0.20). VAT was additionally associated with TNFSF13B (β 0.08) and CHI3L1 (β 0.07). CONCLUSIONS Our findings provide new insights into the involvement of hepatic and pancreatic fat on systemic inflammation.
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Affiliation(s)
- Mariana Ponce-de-Leon
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich 81377, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg 86156, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, Neuherberg D-85764, Germany.
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17489, Germany; DZHK (German Center for Cardiovascular Research), Partner site Greifswald, Greifswald 17475, Germany
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich 81377, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg 86156, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, Neuherberg D-85764, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17489, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Ferdinand Sauerbruch-Straße, Greifswald 17475, Germany
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17475, Germany
| | - Henry Völzke
- DZHK (German Center for Cardiovascular Research), Partner site Greifswald, Greifswald 17475, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17489, Germany; DZHK (German Center for Cardiovascular Research), Partner site Greifswald, Greifswald 17475, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm 89081, Germany
| | | | | | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstr. 2, Augsburg 86156, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, Neuherberg D-85764, Germany
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Hellbach F, Baumeister SE, Wilson R, Wawro N, Dahal C, Freuer D, Hauner H, Peters A, Winkelmann J, Schwettmann L, Rathmann W, Kronenberg F, Koenig W, Meisinger C, Waldenberger M, Linseisen J. Association between Usual Dietary Intake of Food Groups and DNA Methylation and Effect Modification by Metabotype in the KORA FF4 Cohort. Life (Basel) 2022; 12:life12071064. [PMID: 35888152 PMCID: PMC9318948 DOI: 10.3390/life12071064] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
Associations between diet and DNA methylation may vary among subjects with different metabolic states, which can be captured by clustering populations in metabolically homogenous subgroups, called metabotypes. Our aim was to examine the relationship between habitual consumption of various food groups and DNA methylation as well as to test for effect modification by metabotype. A cross-sectional analysis of participants (median age 58 years) of the population-based prospective KORA FF4 study, habitual dietary intake was modeled based on repeated 24-h diet recalls and a food frequency questionnaire. DNA methylation was measured using the Infinium MethylationEPIC BeadChip providing data on >850,000 sites in this epigenome-wide association study (EWAS). Three metabotype clusters were identified using four standard clinical parameters and BMI. Regression models were used to associate diet and DNA methylation, and to test for effect modification. Few significant signals were identified in the basic analysis while many significant signals were observed in models including food group-metabotype interaction terms. Most findings refer to interactions of food intake with metabotype 3, which is the metabotype with the most unfavorable metabolic profile. This research highlights the importance of the metabolic characteristics of subjects when identifying associations between diet and white blood cell DNA methylation in EWAS.
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Affiliation(s)
- Fabian Hellbach
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
- Correspondence: ; Tel.: +49-821-598-6473
| | - Sebastian-Edgar Baumeister
- Institute of Health Services Research in Dentistry, Medical Faculty, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany;
| | - Rory Wilson
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Nina Wawro
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Chetana Dahal
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany;
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Juliane Winkelmann
- Institute of Neurogenomic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;
- Department of Economics, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstr. 41, 6020 Innsbruck, Austria;
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336 Munich, Germany;
- German Heart Centre Munich, Technical University Munich, Lazarettstr. 36, 80636 Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Helmholtzstr. 22, 89081 Ulm, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (R.W.); (A.P.); (M.W.)
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf’m Hennekamp 65, 40225 Düsseldorf, Germany;
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany; (N.W.); (J.L.)
- Epidemiology, Faculty of Medicine, University Hospital Augsburg, University of Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; (C.D.); (D.F.); (C.M.)
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Braadt L, Meisinger C, Linseisen J, Kirchberger I, Zickler P, Naumann M, Ertl M. Influence of educational status and migration background on the long-term health related quality of life after stroke. Eur J Neurol 2022; 29:3288-3295. [PMID: 35836373 DOI: 10.1111/ene.15503] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Acute stroke treatment and secondary prevention have tremendously improved functional outcomes after stroke. However, this does not always imply a likewise improvement in health-related quality of life (HRQoL). Knowledge on factors influencing HRQoL after stroke is still scarce, especially regarding social aspects like the level of education and the presence of migration background. METHODS In the present stroke cohort study, participants were interviewed during their hospital stay and completed a postal questionnaire at three and twelve months post stroke. Functional outcomes were assessed by the modified Rankin Scale (mRS) and HRQoL by evaluating the detailed Stroke Impact Scale (SIS). Logistic regression models were used to determine associations between education, migration background and quality of life endpoints. RESULTS A total of 945 (mean age 69 years; 56% male) stroke patients were enrolled. After adjusting for confounders, a lower educational level was associated with worse functional outcomes in the SIS domain "strength" (OR 2.67, 95% CI 1.6 - 4.4, p < 0.001). Migration background was associated with worse outcomes in the SIS-domain "emotion" (p = 0.007, OR 1.71, 95% CI 1.2 - 2.5). Additionally, for female patients worse HRQoL-outcomes were found in multiple other SIS-domains. CONCLUSIONS Migration background and a lower educational level were significantly associated with lower long-term HRQoL after stroke. These aspects should be considered in targeted rehabilitation programs and follow-up support of stroke patients.
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Affiliation(s)
- Lino Braadt
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.,Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Philipp Zickler
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Markus Naumann
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
| | - Michael Ertl
- Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany
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Reik A, Brandl B, Schauberger G, Wawro N, Linseisen J, Skurk T, Volkert D, Hauner H, Holzapfel C. Association between Habitual Diet and the Postprandial Glucose Response-An Enable Study. Mol Nutr Food Res 2022; 66:e2200110. [PMID: 35713029 DOI: 10.1002/mnfr.202200110] [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: 02/21/2022] [Revised: 05/13/2022] [Indexed: 11/05/2022]
Abstract
SCOPE It is inconclusive which factors influence inter-individual variations of postprandial glucose response (PPGR). This study investigates whether the habitual diet is associated with PPGR. METHODS AND RESULTS Data from healthy adults (young adults with 18-25 years, middle-aged adults with 40-65 years, and older adults with 75-85 years) is collected at baseline and during an oral glucose tolerance test (OGTT) collected. Habitual diet is assessed by a food frequency questionnaire and two 24-h food lists. Associations between habitual diet and glucose incremental area under the curve (iAUCmin ) are examined by regression models. The intake of cereals and cereal products is negatively associated with glucose iAUCmin (p = 0.002) in the total cohort (N = 459, 50% women, 55 ± 21 years, BMI 26 ± 5 kg m- 2 ). Up to 9% of the variance in the glycemic response is explained by the respective dietary parameters identified in the models of the specific age groups. CONCLUSION There are age-specific diet-related effects on PPGR. The usual intake of cereals and cereal products seems to play a greater role in PPGR in more than one age group. Further research is needed, to establish how diet can be optimized based on age and PPGR.
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Affiliation(s)
- Anna Reik
- Institute for Nutritional Medicine, School of Medicine, University Hospital Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Beate Brandl
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Gunther Schauberger
- Chair of Epidemiology, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Nina Wawro
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Linseisen
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Thomas Skurk
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Dorothee Volkert
- Institute for Biomedicine of Aging, Friedrich-Alexander Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Hans Hauner
- Institute for Nutritional Medicine, School of Medicine, University Hospital Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Else Kröner-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, School of Medicine, University Hospital Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
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Schmitz T, Wein B, Methe H, Linseisen J, Heier M, Peters A, Meisinger C. Association between admission ECG changes and long-term mortality in patients with an incidental myocardial infarction: Results from the KORA myocardial infarction registry. Eur J Intern Med 2022; 100:69-76. [PMID: 35317964 DOI: 10.1016/j.ejim.2022.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 02/01/2022] [Revised: 03/01/2022] [Accepted: 03/08/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND The aim of this study was to examine the predictive value of specific changes in admission ECG on long-term outcome in acute myocardial infarction (AMI). METHODS From 2000 until 2017 all AMI cases (n = 9,689) in the study area of Augsburg, Germany, were prospectively recorded. For this study, all patients with a first-time AMI, who survived the first 28 days, were considered. Median observational time was 6.7 years (IQR: 3.6-10.9). Each case was assigned to one of the following groups according to the admission ECG: 'ST-segment elevation', 'ST-segment depression', 'T-wave inversion', 'unspecific changes', 'normal ECG' and 'bundle branch block' (BBB). Multivariable adjusted COX regression models were calculated to compare long-term all-cause mortality. RESULTS The final regression model revealed a significantly higher mortality among patients with BBB (HR: 1.52 [1.34-1.73], p-value: < 0.001) and 'ST-segment depression' (HR: 1.16 [1.03-1.29], p-value: 0.01252) compared to the STEMI group (reference group). The 'normal ECG' group (HR: 0.76 [0.66-0.87], p-value: < 0.001) on the other hand was associated with significantly lower long-term mortality. The 'T-wave inversion' group (HR: 1.08 [0.96-1.21]) and the 'unspecific changes' group (HR: 1.05 [0.94-1.17]) did not differ significantly from the STEMI group. CONCLUSION ST-segment depressions and BBB admission ECGs go along with higher long-term mortality in AMI patients compared to STEMI cases. This should be taken into account by physicians when treating patients with NSTEMIs. Only the complete absence of AMI-related ECG changes predicts a more favorable outcome.
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Affiliation(s)
- Timo Schmitz
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany.
| | - Bastian Wein
- Department of Cardiology, University Hospital of Augsburg, Germany
| | - Heiko Methe
- Department of Cardiology, Kliniken an der Paar, Krankenhaus Aichach, Aichach, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany; IRG Clinical Epidemiology, Helmholtz Zentrum München, Germany
| | - Margit Heier
- KORA Study Centre, University Hospital of Augsburg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Germany; German Center for Diabetes Research (DZD) Neuherberg, Germany
| | - Christa Meisinger
- Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany
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