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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] [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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Mathieu S, Lambert C, Fayet F, Couderc M, Beauger M, Malochet S, Pickering ME, Tournadre A, Soubrier M. Comparison of the cardiovascular risk profile of rheumatoid arthritis versus hand osteoarthritis patients. Rheumatol Int 2023; 43:2065-2072. [PMID: 37566254 DOI: 10.1007/s00296-023-05405-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 07/23/2023] [Indexed: 08/12/2023]
Abstract
It is clear that there is an increased cardiovascular (CV) risk in rheumatoid arthritis (RA) as a result of systemic inflammation. Hand osteoarthritis (HOA) patients, also have an increased CV risk, but the causes are still debated. Our objective was to compare CV risk factors and risk scores between HOA and RA patients. Thirty-five HOA patients were matched by age (< 3 years) and sex to 35 RA patients in a case-control study. We compared their CV risk profiles and their risk of occurrence of CV events at 10 years using the risk equations SCORE1, SCORE2, and QRISK3. There was a significant increase in SCORE1, SCORE2, but not in QRISK3 in the RA group compared to the HOA group, provided that the multiplication coefficient for RA was applied. This increase was found to no longer be significant for SCORE1 when RA patients have low disease activity (DAS28 ≤ 3.2; n = 8). There was no difference between groups in the frequency of metabolic syndrome, blood pressure, abdominal circumference, body mass index, uricemia, triglyceridemia, HDL cholesterolemia, or pain intensity. Conversely, HOA patients had higher LDL cholesterol and fasting blood glucose levels, in the main analysis and in the subgroup of moderate/high RA activity patients (DAS28 > 3.2; n = 26). We found a higher CV risk in RA compared to HOA patients with moderate/high disease activity. The increased CV risk reported in OA remains to be confirmed in HOA, but these patients appear to have a pro-atherogenic lipid and glycemic profile.
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Affiliation(s)
- Sylvain Mathieu
- Université Clermont Auvergne, CHU Clermont-Ferrand, INSERM, Neuro-Dol, 63000, Clermont-Ferrand, France.
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France.
| | - C Lambert
- Unité de Biostatistiques, DRCI, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Françoise Fayet
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Marion Couderc
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Marine Beauger
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Sandrine Malochet
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Marie-Eva Pickering
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Anne Tournadre
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Martin Soubrier
- Service de Rhumatologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
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Liu L, Zhen D, Fu S, Sun W, Li H, Zhao N, Hou L, Tang X. Associations of the baseline level and change in glycosylated hemoglobin A1c with incident hypertension in non-diabetic individuals: a 3-year cohort study. Diabetol Metab Syndr 2022; 14:54. [PMID: 35436969 PMCID: PMC9014640 DOI: 10.1186/s13098-022-00827-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 04/05/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Diabetes mellitus increases the risk of developing hypertension. The relationship between glycosylated hemoglobin A1c (HbA1c) level and incident hypertension remains controversial. This study examined the associations of the baseline level and change in the HbA1c level over 3 years with incident hypertension in non-diabetic individuals. METHODS This community-based cohort study was conducted with 2591 individuals aged 40-75 years without hypertension or diabetes at baseline, who participated in a longitudinal (REACTION) study program. Questionnaires were administered during interviews, and anthropometric and laboratory measurements were performed at baseline (2011) and follow-up (2014-2015). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of incident hypertension. RESULTS Over a median follow-up period of 3.08 years (interquartile range 3.00, 3.25), 384 (14.82%) subjects developed hypertension. In the fully adjusted linear regression models, change in HbA1c remained significantly associated with changes in systolic blood pressure and diastolic blood pressure [β-coefficient (95% CI), 4.421 (2.811-6.032), 1.681 (0.695-2.667)]. Logistic regression analyses showed that baseline HbA1c level was positively associated with incident hypertension in the unadjusted model; however, the association was no longer significant after further adjustment. Change in HbA1c was positively associated with the development of hypertension, both as a categorical variable stratified by tertiles [adjusted OR (95% CI) in the highest tertile was 1.690 (1.240-2.303) versus the lowest tertile)] and as a continuous variable [adjusted OR (95% CI), 1.242 (1.106-1.394)], independent of age, sex, body mass index, systolic blood pressure, fasting plasma glucose level, lipid profile, the HbA1c level at baseline and 3-year change in body mass index. CONCLUSIONS A higher baseline HbA1c level was not an independent risk factor for incident hypertension, whereas the change in HbA1c was independently associated with a greater longitudinal increase in blood pressure and an increased risk of incident hypertension in non-diabetic individuals.
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Affiliation(s)
- Lijuan Liu
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Donghu Zhen
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Songbo Fu
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Weiming Sun
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Hongli Li
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Nan Zhao
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Lijie Hou
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
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Johar H, Spieler D, Bidlingmaier M, Herder C, Rathmann W, Koenig W, Peters A, Kruse J, Ladwig KH. Chronic Inflammation Mediates the Association between Cortisol and Hyperglycemia: Findings from the Cross-Sectional Population-Based KORA Age Study. J Clin Med 2021; 10:jcm10132751. [PMID: 34206644 PMCID: PMC8267679 DOI: 10.3390/jcm10132751] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/10/2021] [Accepted: 06/18/2021] [Indexed: 11/25/2022] Open
Abstract
(1) Background: The study aimed to investigate the role of subclinical inflammation on the association between diurnal cortisol patterns and glycaemia in an aged population. (2) Methods: Salivary cortisol, interleukin-6 (IL-6) and glycated haemoglobin (HbA1c) were analysed in a sample of 394 men and 364 women (mean age = 5 ± 6.3, 65–90 years). The ratio of morning after awakening and late-night cortisol was calculated as an indication of diurnal cortisol slope (DCS). Multivariable regression models were run to examine whether IL-6 mediates the relationship between the DCS and glycaemia. The Sobel test and bootstrapping methods were used to quantify the mediation analyses. (3) Results: In comparison to normoglycaemic counterparts (n = 676, 89.2%), an increase in IL-6 concentrations, in individuals with hyperglycaemia (HbA1c ≥ 6.5%) (n = 82, 10.8%) (p = 0.04), was significantly associated with a flatter DCS. The link between flatter DCS and elevated HbA1c level was significant mediated by a heightened IL-6 level. Our results do not suggest reverse-directionality, whereby cortisol did not mediate the association of IL-6 with HbA1c. (4) Conclusions: In our sample, the relation between flatter DCS and hyperglycaemia was partly explained by IL-6 levels. The paradigm of subclinical inflammation-mediated cortisol response on glucose metabolism could have widespread implications for improving our understanding of the pathophysiology of type 2 diabetes mellitus.
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Affiliation(s)
- Hamimatunnisa Johar
- Department of Psychosomatic Medicine and Psychotherapy, University of Gießen and Marburg, 35392 Gießen, Germany; (H.J.); (J.K.)
- German Center for Diabetes Research (DZD), München, 85764 Neuherberg, Germany; (C.H.); (A.P.)
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany;
| | - Derek Spieler
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany;
- Department of Psychosomatic Medicine and Psychotherapy, Universitätsklinikum Freiburg, Albert-Ludwigs Universität Freiburg, 79085 Freiburg, Germany
| | - Martin Bidlingmaier
- Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, 80336 Munich, Germany;
| | - Christian Herder
- German Center for Diabetes Research (DZD), München, 85764 Neuherberg, Germany; (C.H.); (A.P.)
- German Diabetes Center, Institute for Clinical Diabetology, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany;
| | - Wolfgang Rathmann
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany;
- German Diabetes Center, Institute for Biometrics and Epidemiology, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80636 Munich, Germany;
- Institute of Epidemiology, Medical Biometry University of Ulm, 89081 Ulm, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), München, 85764 Neuherberg, Germany; (C.H.); (A.P.)
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany;
- Deutsches Herzzentrum München DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80636 Munich, Germany;
| | - Johannes Kruse
- Department of Psychosomatic Medicine and Psychotherapy, University of Gießen and Marburg, 35392 Gießen, Germany; (H.J.); (J.K.)
| | - Karl-Heinz Ladwig
- German Center for Diabetes Research (DZD), München, 85764 Neuherberg, Germany; (C.H.); (A.P.)
- Deutsches Herzzentrum München DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80636 Munich, Germany;
- Department of Psychosomatic Medicine and Psychotherapy, Klinikum Rechts der Isar, Technische Universität München, 81675 Munich, Germany
- Correspondence:
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Petelina TI, Musikhina NA, Avdeeva KS, Sharoyan YA, Gapon LI, Gorbatenko EA, Zueva EV, Valeeva LL. Gender characteristics of lipid profile parameters and markers of vascular inflammation in patients with stable angina pectoris in groups with presence and absence of type 2 diabetes. Klin Lab Diagn 2021; 66:325-332. [PMID: 34105907 DOI: 10.51620/0869-2084-2021-66-6-325-332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The study of the parameters of the lipid profile and markers of the inflammatory reaction of the vascular wall in patients with stable angina pectoris in the presence or absence of type 2 diabetes mellitus (T2DM) is of great importance for revealing the gender characteristics of the pathophysiological mechanisms of the development and course of diseases, developing secondary prevention of complications and determining the prognosis. 194 patients with stable angina pectoris (SA), single-vessel coronary artery disease, mean age 60.3 ± 7.8 years were examined. Patients were divided into two groups: group 1 - patients with SA without diabetes 2 (n = 152), group 2 - with SA and diabetes 2 (n = 42). In each group, subgroups of men and women are distinguished. The study of biomarkers was carried out upon admission to the hospital on the background of therapy, taken on an outpatient basis. The study included a complex of parameters of the lipid spectrum, markers of the inflammatory response, endothelial dysfunction, and carbohydrate metabolism parameters. A comparative analysis of biomarkers revealed an excess of reference values of atherogenic lipid fractions in both groups of patients, regardless of patient gender. Moreover, in the first group of patients, in the subgroup of women, a significant excess of the level of TC, PL (a), and ApoA-1 was registered compared with the subgroup of men. In the second group, there were no significant differences in parameters between the male and female subgroups. Evaluation of the parameters of the inflammatory reaction revealed in the subgroup of women with T2DM a steady tendency to exceed the level of hs-CRP, TNF-α, homocysteine compared with both men and women in the SA group without T2DM. The logistic regression revealed the main biochemical markers that affect the aggravation of the course of IHD in women with T2DM: this is a uric acid level of more than 380 mmol / l - OS 11.5 (95% CI 1.71-77.69), TNF-α more 8 pg / ml - OR 7.5 (95% CI 1.07-52.46) and an increase in TG - OR 3.33 (95% CI 1.073-10.335). Thus, women of the 2nd group with the presence of T2DM are characterized by the highest level of atherogenic fractions of lipids, markers of vascular inflammation, glucose and HbA1c, which may indicate the greatest potential for the development of atherothrombotic complications in this subgroup of patients.
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Affiliation(s)
| | - N A Musikhina
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - K S Avdeeva
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - Yu A Sharoyan
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - L I Gapon
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - E A Gorbatenko
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - E V Zueva
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
| | - L L Valeeva
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center RAS
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Is GDF-15 level associated with gestational diabetes mellitus and adverse perinatal outcomes? Taiwan J Obstet Gynecol 2021; 60:221-224. [DOI: 10.1016/j.tjog.2020.12.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2020] [Indexed: 11/23/2022] Open
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Herder C, Schneider A, Zhang S, Wolf K, Maalmi H, Huth C, Pickford R, Laxy M, Bönhof GJ, Koenig W, Rathmann W, Roden M, Peters A, Thorand B, Ziegler D. Association of Long-Term Air Pollution with Prevalence and Incidence of Distal Sensorimotor Polyneuropathy: KORA F4/FF4 Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:127013. [PMID: 33356516 PMCID: PMC7757787 DOI: 10.1289/ehp7311] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 11/20/2020] [Accepted: 11/20/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Air pollution contributes to type 2 diabetes and cardiovascular diseases, but its relevance for other complications of diabetes, in particular distal sensorimotor polyneuropathy (DSPN), is unclear. Recent studies have indicated that DSPN is also increasingly prevalent in obesity. OBJECTIVES We aimed to assess associations of air pollutants with prevalent and incident DSPN in a population-based study of older individuals with high rates of type 2 diabetes and obesity. METHODS Cross-sectional analyses on prevalent DSPN were based on 1,075 individuals 62-81 years of age from the German Cooperative Health Research in the Region of Augsburg (KORA) F4 survey (2006-2008). Analyses on incident DSPN included 424 individuals without DSPN at baseline (KORA F4), of whom 188 had developed DSPN by the KORA FF4 survey (2013-2014). Associations of annual average air pollutant concentrations at participants' residences with prevalent and incident DSPN were estimated using Poisson regression models with a robust error variance adjusting for multiple confounders. RESULTS Higher particle number concentrations (PNCs) were associated with higher prevalence [risk ratio (RR) per interquartile range (IQR) increase=1.10 (95% CI: 1.01, 1.20)] and incidence [1.11 (95% CI: 0.99, 1.24)] of DSPN. In subgroup analyses, particulate (PNC, PM10, PMcoarse, PM2.5, and PM2.5abs) and gaseous (NOx, NO2) pollutants were positively associated with prevalent DSPN in obese participants, whereas corresponding estimates for nonobese participants were close to the null [e.g., for an IQR increase in PNC, RR=1.17 (95% CI: 1.05, 1.31) vs. 1.06 (95% CI: 0.95, 1.19); pinteraction=0.22]. With the exception of PM2.5abs, corresponding associations with incident DSPN were positive in obese participants but null or inverse for nonobese participants, with pinteraction≤0.13 [e.g., for PNC, RR=1.28 (95% CI: 1.08, 1.51) vs. 1.03 (95% CI: 0.90, 1.18); pinteraction=0.03]. DISCUSSION Both particulate and gaseous air pollutants were positively associated with prevalent and incident DSPN in obese individuals. Obesity and air pollution may have synergistic effects on the development of DSPN. https://doi.org/10.1289/EHP7311.
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Affiliation(s)
- Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Alexandra Schneider
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Kathrin Wolf
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Haifa Maalmi
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
| | - Cornelia Huth
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Regina Pickford
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Michael Laxy
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Department of Sport and Health Science, Technical University of Munich, Munich, Germany
| | - Gidon J. Bönhof
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
| | - Wolfgang Koenig
- German Heart Center Munich, Technical University of Munich, Munich, Germany
- German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Annette Peters
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Barbara Thorand
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Dan Ziegler
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Correlations between Iron Metabolism Parameters, Inflammatory Markers and Lipid Profile Indicators in Patients with Type 1 and Type 2 Diabetes Mellitus. J Pers Med 2020; 10:jpm10030070. [PMID: 32722394 PMCID: PMC7563504 DOI: 10.3390/jpm10030070] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 12/18/2022] Open
Abstract
This study aims to establish relationships between inflammatory status, ferrokinetics and lipid metabolism in patients with diabetes mellitus. Subclinical inflammation was assessed by levels of high-sensitive C-reactive protein, tumor necrosis factor-α and erythrocyte sedimentation rate. Iron metabolism parameters included complete blood count, serum iron, transferrin and ferritin. Metabolic status assessment included lipid profile, glycated hemoglobin and microalbuminuria measurement. As a result of the study it was possible to establish both general (universal) and diabetes mellitus (DM) type-dependent relationships between the parameters of lipid profile and metabolic control in DM. High-density lipoprotein cholesterol (HDL-C) levels negatively correlated with microalbuminuria (r = −0.293; p ˂ 0.05 for type 1 diabetes and r = −0.272; p ˂ 0.05 for type 2 diabetes). Ferritin concentration positively correlated with triglyceride level (r = 0.346; p ˂ 0.05 for type 1 diabetes and r = 0.244; p ˂ 0.05 for type 2 diabetes). In type 1 diabetes, a negative correlation was discovered between estimated glomerular filtration rate (eGFR) and LDL-C (r = −0.480; p ˂ 0.05), very low-density-lipoprotein cholesterol (VLDL-C) (r = −0.490; p ˂ 0.05) and triglycerides (r = −0.553; p ˂ 0.05), and a positive one between C-reactive protein concentration and triglyceride level (r = 0.567; p ˂ 0.05). Discovered relationships between lipid profile indices, inflammatory status and microalbuminuria confirmed mutual influence of hyperlipidemia, inflammation and nephropathy in diabetes patients. Obtained results justify the strategy of early hypolipidemic therapy in patients with diabetes mellitus to prevent the development and progression of microvascular complications.
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Xu J, Liang R, Zhang W, Tian K, Li J, Chen X, Yu T, Chen Q. Faecalibacterium prausnitzii-derived microbial anti-inflammatory molecule regulates intestinal integrity in diabetes mellitus mice via modulating tight junction protein expression. J Diabetes 2020; 12:224-236. [PMID: 31503404 PMCID: PMC7064962 DOI: 10.1111/1753-0407.12986] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 08/28/2019] [Accepted: 09/06/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Impaired intestinal barrier structure and function have been validated as an important pathogenic process in type 2 diabetes mellitus (T2DM). Gut dysbiosis is thought to be the critical factor in diabetic intestinal pathogenesis. As the most abundant commensal bacteria, Faecalibacterium prausnitzii (F. prausnitzii) play important roles in gut homeostasis. The microbial anti-inflammatory molecule (MAM), an F. prausnitzii metabolite, has anti-inflammatory potential in inflammatory bowel disease (IBD). Thus, we aimed to explore the function and mechanism of MAM on the diabetic intestinal epithelium. METHODS 16S high-throughput sequencing was used to analyze the gut microbiota of db/db mice (T2DM mouse model). We transfected a FLAG-tagged MAM plasmid into human colonic cells to explore the protein-protein interactions and observe cell monolayer permeability. For in vivo experiments, db/db mice were supplemented with recombinant His-tagged MAM protein from E. coli BL21 (DE3). RESULTS The abundance of F. prausnitzii was downregulated in the gut microbiota of db/db mice. Immunoprecipitation (IP) and mass spectroscopy (MS) analyses revealed that MAM potentially interacts with proteins in the tight junction pathway, including zona occludens 1 (ZO-1). FLAG-tagged MAM plasmid transfection stabilized the cell permeability and increased ZO-1 expression in NCM460, Caco2, and HT-29 cells. The db/db mice supplemented with recombinant His-tagged MAM protein showed restored intestinal barrier function and elevated ZO-1 expression. CONCLUSIONS Our study shows that MAM from F. prausnitzii can restore the intestinal barrier structure and function in DM conditions via the regulation of the tight junction pathway and ZO-1 expression.
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Affiliation(s)
- Jihao Xu
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
| | - Rongrong Liang
- Department of PediatricsSun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
| | - Wang Zhang
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
- Department of GastroenterologyGuangdong Provincial Hospital of Chinese Medicine (2nd Clinical Hospital of Guangzhou University of Chinese Medicine), Guangzhou University of Chinese MedicineGuangzhouGuangdongPeople's Republic of China
| | - Kuangyi Tian
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
| | - Jieyao Li
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
| | - Xianming Chen
- Department of Medical Microbiology and ImmunologyCreighton University School of MedicineOmahaNebraska
| | - Tao Yu
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
| | - Qikui Chen
- Department of GastroenterologySun Yat‐Sen Memorial Hospital, Sun Yat‐Sen UniversityGuangzhouGuangdongPeople's Republic of China
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Zhou Y, Zhou J, Zhang Y, Tang J, Sun B, Xu W, Wang X, Chen Y, Sun Z. Changes in Intestinal Microbiota Are Associated with Islet Function in a Mouse Model of Dietary Vitamin A Deficiency. J Diabetes Res 2020; 2020:2354108. [PMID: 32064275 PMCID: PMC6996671 DOI: 10.1155/2020/2354108] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 12/05/2019] [Accepted: 12/21/2019] [Indexed: 12/28/2022] Open
Abstract
AIMS The underlying mechanisms involved in Vitamin A- (VA-) related changes in glucose metabolic disorders remain unclear. Recent evidence suggests that intestinal microbiota is closely linked to the metabolic syndrome. Here, we explored whether and how intestinal microbiota affects glucose homeostasis in VA-deficient diet-fed mice. METHODS Six-week-old male C57BL/6 mice were randomly placed on either a VA-sufficient (VAS) or VA-deficient (VAD) diet for 10 weeks. Subsequently, a subclass of the VAD diet-fed mice was switched to a VA-deficient rescued (VADR) diet for an additional 8 weeks. The glucose metabolic phenotypes of the mice were assessed using glucose tolerance tests and immunohistochemistry staining. Changes in intestinal microbiota were assessed using 16S gene sequencing. The intestinal morphology, intestinal permeability, and inflammatory response activation signaling pathway were assessed using histological staining, western blots, quantitative-PCR, and enzyme-linked immunosorbent assays. RESULTS VAD diet-fed mice displayed reduction of tissue VA levels, increased area under the curve (AUC) of glucose challenge, reduced glucose-stimulated insulin secretion, and loss of β cell mass. Redundancy analysis showed intestinal microbiota diversity was significantly associated with AUC of glucose challenge and β cell mass. Redundancy analysis showed intestinal microbiota diversity was significantly associated with AUC of glucose challenge and κB signaling pathway activation. Reintroduction of dietary VA to VAD diet-fed mice restored tissue VA levels, endocrine hormone profiles, and inflammatory response, which are similar to those observed following VAS-controlled changes in intestinal microbiota. CONCLUSIONS We found intestinal microbiota effect islet function via controlling intestinal inflammatory phenotype in VAD diet-fed mice. Intestinal microbiota influences could be considered as an additional mechanism for the effect of endocrine function in a VAD diet-driven mouse model.
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Affiliation(s)
- Yunting Zhou
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Junming Zhou
- Department of Gastroenterology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yumin Zhang
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Jun Tang
- Department of Anesthesiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Bo Sun
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Wei Xu
- Department of Diabetes, School of Life Course Sciences, King's College London, Guy's Campus, London, UK
| | - Xiaohang Wang
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Yang Chen
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
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11
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Gerards J, Heinrich DA, Adolf C, Meisinger C, Rathmann W, Sturm L, Nirschl N, Bidlingmaier M, Beuschlein F, Thorand B, Peters A, Reincke M, Roden M, Quinkler M. Impaired Glucose Metabolism in Primary Aldosteronism Is Associated With Cortisol Cosecretion. J Clin Endocrinol Metab 2019; 104:3192-3202. [PMID: 30865224 DOI: 10.1210/jc.2019-00299] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 03/07/2019] [Indexed: 01/05/2023]
Abstract
CONTEXT Primary aldosteronism (PA) is associated with higher cardiovascular morbidity and metabolic risks. Recent studies report glucocorticoid cosecretion as a relevant phenotype of PA, which could contribute to associated risks, including type 2 diabetes mellitus (T2DM). The relationship between autonomous cortisol secretion (ACS) and glucose metabolism in PA has not been investigated. OBJECTIVE To evaluate the prevalence of impaired glucose homeostasis in patients with PA according to cortisol cosecretion. DESIGN We performed oral glucose tolerance tests (OGTTs) and complete testing for hypercortisolism [1-mg dexamethasone suppression test (DST), late-night salivary cortisol, 24-hour urinary free cortisol] in 161 newly diagnosed patients with PA of the German Conn Registry. Seventy-six of 161 patients were reevaluated at follow-up. We compared our results to a population-based sample from the Cooperative Health Research in the Region of Augsburg (KORA)-F4 study matched to the participants with PA (3:1) by sex, age, and body mass index. RESULTS At the time of diagnosis, 125 patients (77.6%) had a pathological response in at least one of the Cushing screening tests; T2DM was diagnosed in 6.4% of these 125 cases. Patients with a pathological DST exhibited significantly higher 2-hour plasma glucose in OGTTs and were significantly more often diagnosed with T2DM than were patients with a normal DST (20% vs 0.8%, P < 0.0001) and matched controls from the KORA study (20.6% vs 5.9%, P = 0.022). Patients with PA without ACS tended to have higher homeostatic model assessment of insulin resistance levels than did KORA control subjects (P = 0.05). CONCLUSION ACS appears frequently in patients with PA and is associated with impaired glucose metabolism, which could increase the risk of T2DM. PA itself seems to enhance insulin resistance.
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Affiliation(s)
| | - Daniel A Heinrich
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Christian Adolf
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Christa Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center of Environmental Health, Neuherberg, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
| | - Lisa Sturm
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Nina Nirschl
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Martin Bidlingmaier
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Felix Beuschlein
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
- Klinik für Endokrinologie, Diabetologie und Klinische Ernährung, Universitätsspital Zürich, Zurich, Switzerland
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center of Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center of Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Michael Roden
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Duesseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany
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12
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de Las Heras Gala T, Herder C, Rutters F, Carstensen-Kirberg M, Huth C, Stehouwer CDA, Nijpels G, Schalkwijk C, Flyvbjerg A, Franks PW, Dekker J, Meisinger C, Koenig W, Roden M, Rathmann W, Peters A, Thorand B. Association of changes in inflammation with variation in glycaemia, insulin resistance and secretion based on the KORA study. Diabetes Metab Res Rev 2018; 34:e3063. [PMID: 30114727 DOI: 10.1002/dmrr.3063] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 08/02/2018] [Accepted: 08/10/2018] [Indexed: 12/12/2022]
Abstract
AIMS Subclinical systemic inflammation may contribute to the development of type 2 diabetes, but its association with early progression of glycaemic deterioration in persons without diabetes has not been fully investigated. Our primary aim was to assess longitudinal associations of changes in pro-inflammatory (leukocytes, high-sensitivity C-reactive protein (hsCRP)) and anti-inflammatory (adiponectin) markers with changes in markers that assessed glycaemia, insulin resistance, and secretion (HbA1c , HOMA-IR, and HOMA-ß). Furthermore, we aimed to directly compare longitudinal with cross-sectional associations. MATERIALS AND METHODS This study includes 819 initially nondiabetic individuals with repeated measurements from the Cooperative Health Research in the Region of Augsburg (KORA) S4/F4 cohort study (median follow-up: 7.1 years). Longitudinal and cross-sectional associations were simultaneously examined using linear mixed growth models. Changes in markers of inflammation were used as independent and changes in markers of glycaemia/insulin resistance/insulin secretion as dependent variables. Models were adjusted for age, sex, major lifestyle and metabolic risk factors for diabetes using time-varying variables in the final model. RESULTS Changes of leukocyte count were positively associated with changes in HbA1c and HOMA-ß while changes in adiponectin were inversely associated with changes in HbA1c . All examined cross-sectional associations were statistically significant; they were generally stronger and mostly directionally consistent to the longitudinal association estimates. CONCLUSIONS Adverse changes in low-grade systemic inflammation go along with glycaemic deterioration and increased insulin secretion independently of changes in other risk factors, suggesting that low-grade inflammation may contribute to the development of hyperglycaemia and a compensatory increase in insulin secretion.
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Affiliation(s)
- Tonia de Las Heras Gala
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Femke Rutters
- Department of Epidemiology and Biostatistics and EMGO+ Institute for Health and Care Research, VUMC, Amsterdam, The Netherlands
| | - Maren Carstensen-Kirberg
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Cornelia Huth
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Coen D A Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Giel Nijpels
- Department of Epidemiology and Biostatistics and EMGO+ Institute for Health and Care Research, VUMC, Amsterdam, The Netherlands
| | - Casper Schalkwijk
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Allan Flyvbjerg
- Steno Diabetes Center Copenhagen, Copenhagen, The Capital Region of Denmark, Denmark
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Jacqueline Dekker
- Department of Epidemiology and Biostatistics and EMGO+ Institute for Health and Care Research, VUMC, Amsterdam, The Netherlands
| | - Christa Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T, Augsburg, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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13
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Giacconi R, Malavolta M, Chiodi L, Boccoli G, Costarelli L, Bonfigli AR, Galeazzi R, Piacenza F, Basso A, Gasparini N, Nisi L, Testa R, Provinciali M. ZnT8 Arg325Trp polymorphism influences zinc transporter expression and cytokine production in PBMCs from patients with diabetes. Diabetes Res Clin Pract 2018; 144:102-110. [PMID: 30142362 DOI: 10.1016/j.diabres.2018.08.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/13/2018] [Accepted: 08/01/2018] [Indexed: 12/30/2022]
Abstract
AIMS ZnT8 Arg325Trp polymorphism has been associated with type 2 diabetes (T2DM) susceptibility. The Arg-325 risk variant shows accelerated zinc (Zn) transport kinetic and reduced glucose-stimulated insulin secretion in pancreatic cells. However, it remains unexplored the role of Znt8 polymorphism in the regulation of Zn homeostasis and inflammatory response in peripheral blood mononuclear cells (PBMCs) from T2DM patients. METHODS AND RESULTS A total of 556 healthy controls and 413 T2DM patients were genotyped for ZnT8 Arg325Trp polymorphism confirming the association of Arg-325 variant with an increased T2DM risk (OR = 1.35 95% C.I: 1.10-1.66; p = 0.0044). Moreover, PBMCs from Arg/Arg T2DM subjects showed increased intracellular free Zn, higher gene expression of Metallothioneins, Znt1, Znt8, Zip2 genes, and reduced Znt4 and Znt7. Higher release of IL-1α, IL-1β, IFN-γ, IL-12p70 and TNF-α and a reduced IL-10 secretion after lipopolysaccharide (LPS) stimulation were observed in PBMCs from Arg/Arg T2DM carriers as compared to subjects with the Trp variant. CONCLUSIONS Our data provide evidence of a substantial different Zn homeostasis regulation between Znt8 Arg-325 and Trp-325 carriers in PBMCs from T2DM patients. Moreover, Znt8 Arg-325 risk variant shows an enhanced inflammatory response upon LPS stimulation that might aggravate insulin resistance and the progression of diabetes cardiovascular complications.
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Affiliation(s)
- R Giacconi
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy.
| | - M Malavolta
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - L Chiodi
- Department of General and Vascular Surgery, INRCA-IRCCS, Ancona, Italy
| | - G Boccoli
- Department of General and Vascular Surgery, INRCA-IRCCS, Ancona, Italy
| | - L Costarelli
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - A R Bonfigli
- Scientific Direction, INRCA-IRCCS National Institute, Ancona, Italy
| | - R Galeazzi
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - F Piacenza
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - A Basso
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - N Gasparini
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - L Nisi
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - R Testa
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - M Provinciali
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
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14
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Kuzu F. The effect of type 2 diabetes on electrocardiographic markers of significant cardiac events. Pak J Med Sci 2018; 34:626-632. [PMID: 30034428 PMCID: PMC6041533 DOI: 10.12669/pjms.343.14562] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Background & Objectives: In diabetics, cardiac microvascular circulation disorder increases the risk of arrhythmia and sudden cardiac death. Tpeak-Tend (Tp-e) interval, Tp-e dispersion, and Tp-e/QT and Tp-e/QTc ratios measured by surface electrocardiogram (ECG) are new parameters used to evaluate ventricular arrhythmogenity. We aimed to compare QT dispersion (QTd), corrected QT dispersion (QTcd), P dispersion (Pd), Tp-e interval, Tp-e dispersion, and Tp-e/QT and Tp-e/QTc ratios in patients with type- 2 diabetes (T2D) with healthy population. Methods: Electrocardiographic parameters of a total of 100 patients diagnosed with T2D were retrospectively analyzed and compared with the ECG results of 100 healthy age-, sex-, and body weight and height-matched controls. Results: The Pd, QT interval, QTc interval, QTd, QTcd, Tp-e/QT, Tp-e/QT ratios were higher in the patients. A statistically significant correlation was found only between hemoglobin A1c and Tp-e dispersion, QTd, QTcd, Pd, Tp-e/QT and Tp-e/QTc parameters, in linear regression analysis. There was also a statistically significant positive correlation between the values of low-density lipoprotein, systolic blood pressure, and Tp-e dispersion. Conclusion: The risk of arrhythmia can be predicted by evaluating Tp-e interval, Tp-e dispersion, Tp-e/QT, and Tp-e/QTc ratio, suggesting heterogeneity of ventricular repolarization and P wave and Pd showing heterogeneity of atrial repolarization in diabetic patients.
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Affiliation(s)
- Fatih Kuzu
- Fatih Kuzu, MD. Department of Endocrinology and Metabolism, Dumlupinar University, Evliya Celebi Training and Research Hospital, Kutahya, Turkey
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15
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Harsch IA, Konturek PC. The Role of Gut Microbiota in Obesity and Type 2 and Type 1 Diabetes Mellitus: New Insights into "Old" Diseases. Med Sci (Basel) 2018; 6:E32. [PMID: 29673211 PMCID: PMC6024804 DOI: 10.3390/medsci6020032] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 04/09/2018] [Accepted: 04/10/2018] [Indexed: 12/12/2022] Open
Abstract
The investigation of the human microbiome is the most rapidly expanding field in biomedicine. Early studies were undertaken to better understand the role of microbiota in carbohydrate digestion and utilization. These processes include polysaccharide degradation, glycan transport, glycolysis, and short-chain fatty acid production. Recent research has demonstrated that the intricate axis between gut microbiota and the host metabolism is much more complex. Gut microbiota—depending on their composition—have disease-promoting effects but can also possess protective properties. This review focuses on disorders of metabolic syndrome, with special regard to obesity as a prequel to type 2 diabetes, type 2 diabetes itself, and type 1 diabetes. In all these conditions, differences in the composition of the gut microbiota in comparison to healthy people have been reported. Mechanisms of the interaction between microbiota and host that have been characterized thus far include an increase in energy harvest, modulation of free fatty acids—especially butyrate—of bile acids, lipopolysaccharides, gamma-aminobutyric acid (GABA), an impact on toll-like receptors, the endocannabinoid system and “metabolic endotoxinemia” as well as “metabolic infection.” This review will also address the influence of already established therapies for metabolic syndrome and diabetes on the microbiota and the present state of attempts to alter the gut microbiota as a therapeutic strategy.
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Affiliation(s)
- Igor Alexander Harsch
- Division of Endocrinology and Metabolism, Thuringia Clinic Saalfeld "Georgius Agricola", Department of Internal Medicine II, Teaching Hospital of the University of Jena, Rainweg 68, D-07318 Saalfeld/Saale, Germany.
| | - Peter Christopher Konturek
- Division of Gastroenterology, Thuringia Clinic Saalfeld "Georgius Agricola", Department of Internal Medicine II, Teaching Hospital of the University of Jena, Rainweg 68, D-07318 Saalfeld/Saale, Germany.
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Markus MRP, Ittermann T, Baumeister SE, Huth C, Thorand B, Herder C, Roden M, Siewert-Markus U, Rathmann W, Koenig W, Dörr M, Völzke H, Schipf S, Meisinger C. Prediabetes is associated with microalbuminuria, reduced kidney function and chronic kidney disease in the general population: The KORA (Cooperative Health Research in the Augsburg Region) F4-Study. Nutr Metab Cardiovasc Dis 2018; 28:234-242. [PMID: 29337019 DOI: 10.1016/j.numecd.2017.12.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 11/21/2017] [Accepted: 12/10/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND AIMS We investigated the associations of serum fasting (FG) and 2-h postload (2HG) glucose from an oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c), fasting insulin and the homeostasis model assessment-insulin resistance index (HOMA-IR) with urinary albumin-to-creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). METHODS AND RESULTS We performed cross-sectional analyses of 2713 subjects (1429 women; 52.7%) without known type 2 diabetes, aged 31-82 years, from the KORA (Cooperative Health Research in the Augsburg Region) F4-Study. FG, 2HG, HbA1c, fasting insulin, HOMA-IR and glucose tolerance categories were analyzed for association with ACR and eGFR in multivariable adjusted linear and median regression models, and with isolated microalbuminuria (i-MA), isolated reduced kidney function (i-RKF) and chronic kidney disease (CKD, defined as MA and/or RKF) in multivariable adjusted logistic regression models. Among the 2713 study participants, 28% revealed prediabetes (isolated impaired fasting glucose [i-IFG], isolated glucose tolerance [i-IGT] or both by American Diabetes Association definition), 4.2% had unknown type 2 diabetes, 6.5% had i-MA, 3.1% i-RKF and 10.9% CKD. In multivariable adjusted analysis, all continuous variables (FG, 2HG, HbA1c, fasting insulin and HOMA-IR) were associated with i-MA, i-RKF and CKD. The odds ratios (ORs) for i-MA and CKD were 1.54 (95% confidence interval: 1.02-2.33) and 1.58 (1.10-2.25) for individuals with i-IFG. Moreover, the OR for i-RKF was 2.57 (1.31-5.06) for individuals with IFG + IGT. CONCLUSION Our findings suggest that prediabetes might have harmful effects on the kidney.
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Affiliation(s)
- M R P Markus
- Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), Partner Site Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
| | - T Ittermann
- Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), Partner Site Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - S E Baumeister
- Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany; Chair of Epidemiology, Ludwig-Maximilians-University Munich, UNIKA-T Augsburg, Augsburg, Germany
| | - C Huth
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - B Thorand
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - C Herder
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - M Roden
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Medical Psychology, University Medicine Greifswald, Greifswald, Germany; Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - U Siewert-Markus
- Institute for Psychology, Ernst-Moritz-Arndt-Universität Greifswald, Greifswald, Germany; Institute for Medical Psychology, University Medicine Greifswald, Greifswald, Germany
| | - W Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - W Koenig
- Deutsches Herzzentrum München, Technical University of Munich, Munich, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - M Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - H Völzke
- Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), Partner Site Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - S Schipf
- Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), Partner Site Greifswald, Greifswald, Germany
| | - C Meisinger
- Chair of Epidemiology, Ludwig-Maximilians-University Munich, UNIKA-T Augsburg, Augsburg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
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Hong JW, Noh JH, Kim DJ. Association between White Blood Cell Counts within Normal Range and Hemoglobin A1c in a Korean Population. Endocrinol Metab (Seoul) 2018; 33:79-87. [PMID: 29388402 PMCID: PMC5874199 DOI: 10.3803/enm.2018.33.1.79] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 11/29/2017] [Accepted: 12/27/2017] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND We examined whether white blood cell (WBC) count levels within normal range, could be associated with hemoglobin A1c (HbA1c) levels. METHODS Among the 11,472 people (≥19 years of age) who participated in the 2011 to 2012 Korea National Health and Nutrition Examination, subjects with chronic disease or illness, including 807 patients with diabetes currently taking anti-diabetic medications and/or 1,149 subjects with WBC levels <4,000 or >10,000/μL were excluded. RESULTS Overall, adjusted HbA1c levels increased across the WBC quartiles (5.55%±0.01%, 5.58%±0.01%, 5.60%±0.01%, and 5.65%±0.01%, P<0.001) after adjusting for confounding factors, such as age, gender, fasting plasma glucose, college graduation, smoking history, waist circumference, presence of hypertension, serum total cholesterol, serum triglyceride, and presence of anemia. The adjusted proportions (%) of HbA1c levels of ≥5.7%, ≥6.1%, and ≥6.5% showed significant increases across WBC quartiles (P<0.001, P=0.002, and P=0.022, respectively). Logistic regression analyses of WBC quartiles for the risk of HbA1c levels of ≥5.7%, ≥6.1%, and ≥6.5%, using the variables above as covariates, showed that the odds ratios of the fourth quartile of WBCs were 1.59 (95% confidence interval [CI], 1.35 to 1.89; P<0.001), 1.78 (95% CI, 1.31 to 2.42; P<0.001), and 2.03 (95% CI, 1.13 to 3.64; P=0.018), using the first quartile of WBCs as the reference. CONCLUSION HbA1c levels were positively associated with WBC levels within normal range in a general adult population.
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Affiliation(s)
- Jae Won Hong
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Jung Hyun Noh
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Dong Jun Kim
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.
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18
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Rauh SP, Heymans MW, Koopman ADM, Nijpels G, Stehouwer CD, Thorand B, Rathmann W, Meisinger C, Peters A, de Las Heras Gala T, Glümer C, Pedersen O, Cederberg H, Kuusisto J, Laakso M, Pearson ER, Franks PW, Rutters F, Dekker JM. Predicting glycated hemoglobin levels in the non-diabetic general population: Development and validation of the DIRECT-DETECT prediction model - a DIRECT study. PLoS One 2017; 12:e0171816. [PMID: 28187151 PMCID: PMC5302787 DOI: 10.1371/journal.pone.0171816] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 01/26/2017] [Indexed: 11/27/2022] Open
Abstract
Aims/hypothesis To develop a prediction model that can predict HbA1c levels after six years in the non-diabetic general population, including previously used readily available predictors. Methods Data from 5,762 initially non-diabetic subjects from three population-based cohorts (Hoorn Study, Inter99, KORA S4/F4) were combined to predict HbA1c levels at six year follow-up. Using backward selection, age, BMI, waist circumference, use of anti-hypertensive medication, current smoking and parental history of diabetes remained in sex-specific linear regression models. To minimize overfitting of coefficients, we performed internal validation using bootstrapping techniques. Explained variance, discrimination and calibration were assessed using R2, classification tables (comparing highest/lowest 50% HbA1c levels) and calibration graphs. The model was externally validated in 2,765 non-diabetic subjects of the population-based cohort METSIM. Results At baseline, mean HbA1c level was 5.6% (38 mmol/mol). After a mean follow-up of six years, mean HbA1c level was 5.7% (39 mmol/mol). Calibration graphs showed that predicted HbA1c levels were somewhat underestimated in the Inter99 cohort and overestimated in the Hoorn and KORA cohorts, indicating that the model’s intercept should be adjusted for each cohort to improve predictions. Sensitivity and specificity (95% CI) were 55.7% (53.9, 57.5) and 56.9% (55.1, 58.7) respectively, for women, and 54.6% (52.7, 56.5) and 54.3% (52.4, 56.2) for men. External validation showed similar performance in the METSIM cohort. Conclusions/interpretation In the non-diabetic population, our DIRECT-DETECT prediction model, including readily available predictors, has a relatively low explained variance and moderate discriminative performance, but can help to distinguish between future highest and lowest HbA1c levels. Absolute HbA1c values are cohort-dependent.
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Affiliation(s)
- Simone P Rauh
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Anitra D M Koopman
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Giel Nijpels
- Department of General Practice and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Coen D Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Tonia de Las Heras Gala
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Charlotte Glümer
- Research Centre for Prevention and Health, Glostrup Hospital, Capital Region of Denmark, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henna Cederberg
- Department of Medicine, University of Kuopio and Kuopio University Hospital, Kuopio, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Kuopio and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Department of Medicine, University of Kuopio and Kuopio University Hospital, Kuopio, Finland
| | - Ewan R Pearson
- Medical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, United Kingdom
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skane University Hospital Malmö, Malmö, Sweden.,Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden.,Harvard Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Femke Rutters
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Jacqueline M Dekker
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
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Herder C, Færch K, Carstensen-Kirberg M, Lowe GD, Haapakoski R, Witte DR, Brunner EJ, Roden M, Tabák AG, Kivimäki M, Vistisen D. Biomarkers of subclinical inflammation and increases in glycaemia, insulin resistance and beta-cell function in non-diabetic individuals: the Whitehall II study. Eur J Endocrinol 2016; 175:367-77. [PMID: 27491375 DOI: 10.1530/eje-16-0528] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 08/04/2016] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Higher systemic levels of pro-inflammatory biomarkers and low adiponectin are associated with increased risk of type 2 diabetes, but their associations with changes in glycaemic deterioration before onset of diabetes are poorly understood. We aimed to study whether inflammation-related biomarkers are associated with 5-year changes in glucose and insulin, HbA1c, insulin sensitivity and beta-cell function before the diagnosis of type 2 diabetes and whether these associations may be bidirectional. DESIGN AND METHODS We used multiple repeat measures (17 891 person-examinations from 7683 non-diabetic participants) from the Whitehall II study to assess whether circulating high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL6), IL1 receptor antagonist (IL1Ra) and adiponectin are associated with subsequent changes in glycaemia, insulin, insulin resistance and beta-cell function (based on oral glucose tolerance tests). We examined bidirectionality by testing if parameters of glucose metabolism at baseline are associated with changes in inflammation-related biomarkers. RESULTS Higher hsCRP and IL6 were associated with increases in fasting insulin, insulin resistance and, for IL6, with beta-cell function after adjustment for confounders. Higher adiponectin was associated with decreases in fasting glucose, HbA1c, fasting insulin, insulin resistance and beta-cell function. The reverse approach showed that 2-h glucose and insulin sensitivity were associated with changes in IL1Ra. Fasting insulin and insulin resistance showed inverse associations with changes in adiponectin. CONCLUSIONS Subclinical inflammation is associated with development of increased glycaemia, insulin resistance and beta-cell function in non-diabetic individuals. These findings are consistent with the hypothesis that inflammation-related processes may increase insulin resistance and lead to a compensatory upregulation of beta-cell function.
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Affiliation(s)
- Christian Herder
- Institute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany German Center for Diabetes ResearchMünchen-Neuherberg, Germany
| | | | - Maren Carstensen-Kirberg
- Institute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany German Center for Diabetes ResearchMünchen-Neuherberg, Germany
| | - Gordon D Lowe
- Institute of Cardiovascular and Medical SciencesUniversity of Glasgow, Glasgow, UK
| | - Rita Haapakoski
- Department of Epidemiology and Public HealthUniversity College London, London, UK
| | - Daniel R Witte
- Department of Public HealthAarhus University, Aarhus, Denmark Danish Diabetes AcademyOdense, Denmark
| | - Eric J Brunner
- Department of Epidemiology and Public HealthUniversity College London, London, UK
| | - Michael Roden
- Institute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany German Center for Diabetes ResearchMünchen-Neuherberg, Germany Department of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Adam G Tabák
- Department of Epidemiology and Public HealthUniversity College London, London, UK First Department of MedicineFaculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Mika Kivimäki
- Department of Epidemiology and Public HealthUniversity College London, London, UK
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Deichgræber P, Witte DR, Møller HJ, Skriver MV, Richelsen B, Jørgensen ME, Johansen NB, Sandbæk A. Soluble CD163, adiponectin, C-reactive protein and progression of dysglycaemia in individuals at high risk of type 2 diabetes mellitus: the ADDITION-PRO cohort. Diabetologia 2016; 59:2467-2476. [PMID: 27541014 DOI: 10.1007/s00125-016-4075-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 07/14/2016] [Indexed: 12/29/2022]
Abstract
AIM/HYPOTHESIS Our aim was to investigate the association between the macrophage-activation marker soluble CD163 (sCD163), adiponectin, C-reactive protein (CRP) and changes in glycaemia, insulin resistance and insulin secretion in individuals at high risk of type 2 diabetes mellitus. METHODS This prospective study included 1014 individuals at high risk of type 2 diabetes mellitus participating in the Danish arm of the Anglo-Danish-Dutch study of Intensive Treatment In PeOple with ScreeN-detected Diabetes in Primary Care (ADDITION-Europe trial) baseline examination in 2001-2006 and follow-up examination (ADDITION-Progression [ADDITION-PRO]) in 2009-2011. Baseline serum samples were analysed for sCD163, adiponectin and CRP. The associations between sCD163, adiponectin and CRP per doubling of concentration, and changes per year in HbA1c, fasting plasma glucose, 2 h glucose, fasting insulin, HOMA-IR and HOMA-β were assessed using a mixed-effects model. RESULTS A doubling of sCD163 concentration was positively associated with changes in fasting insulin (β = 1.078 per year, 95% CI 0.454, 1.702) and HOMA-β (β = 1.313 per year, 95% CI 0.537, 2.089), and a doubling of CRP concentration was positively associated with HbA 1c (β = 0.004 per year, 95% CI 0.001, 0.007) and fasting insulin (β = 0.267 per year, 95% CI 0.029, 0.504) after adjustment for age and sex. A doubling of adiponectin was inversely associated with changes in fasting glucose (β = −0.017 per year, 95% CI −0.028, −0.005), 2 h glucose (β = −0.063 per year, 95% CI −0.107, −0.019), fasting insulin (β = −1.558 per year, 95% CI −2.020, −1.096), HOMA-IR (β = −0.040 per year, 95% CI −0.062, −0.019) and HOMA-β (β = −1.009 per year, 95% CI −1.589, −0.429) after adjustment for age and sex. The associations were robust to adjustment for baseline waist circumference and smoking. Adjustment for CRP did not change the associations for sCD163 or adiponectin. CONCLUSIONS/INTERPRETATION Our findings indicate that mechanisms related to inflammation, including macrophage activation and adipocyte metabolism, may play a role in changes in glucose homeostasis in individuals at high risk of type 2 diabetes mellitus.
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Affiliation(s)
- Pia Deichgræber
- Section of General Practice, Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000, Aarhus, Denmark.
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Holger J Møller
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Mette V Skriver
- Section of Health Promotion and Health Services, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Bjørn Richelsen
- Department of Endocrinology and Internal Medicine (MEA), Aarhus University Hospital, Aarhus, Denmark
| | - Marit E Jørgensen
- Steno Diabetes Center, Gentofte, Denmark
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nanna B Johansen
- Danish Diabetes Academy, Odense, Denmark
- Steno Diabetes Center, Gentofte, Denmark
- Research Centre for Prevention and Health, Centre for Health, Rigshospitalet-Glostrup, Denmark
| | - Annelli Sandbæk
- Section of General Practice, Department of Public Health, Aarhus University, Bartholins Allé 2, DK-8000, Aarhus, Denmark
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The cardiovascular markers copeptin and high-sensitive C-reactive protein decrease following specific therapy for primary aldosteronism. J Hypertens 2016; 34:2066-73. [DOI: 10.1097/hjh.0000000000001041] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Klimontov VV, Tyan NV, Fazullina ON, Myakina NE, Lykov AP, Konenkov VI. Clinical and metabolic factors associated with chronic low-grade inflammation in type 2 diabetic patients. DIABETES MELLITUS 2016; 19:295-302. [DOI: 10.14341/dm7928] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Aim. To identify the clinical and metabolic factors associated with serum concentration of high sensitivity C-reactive protein (hsCRP) and α1-acid glycoprotein (α1-AGP) in patients with type 2 diabetes.Material and methods. The study involved 210 patients with type 2 diabetes. Levels of hsCRP and α1-AGP were measured using ELISA and compared with those of the control (30 healthy normal individuals). Levels of acute-phase proteins, fat mass and glucose variability (GV) were compared among demographic, anthropometric, biochemical and haematological parameters. The fat mass was determined with Dual-energy X-ray absorptiometry (DEXA). GV parameters including mean amplitude of glycaemic excursions, continuous overlapping net glycaemic action (CONGA), J-index, M-value and mean absolute glucose change (MAG) were derived from continuous glucose monitoring.Results. Levels of hsCRP and α1-AGP significantly increased (p 0.0001) in patients with diabetes compared with controls. hsCRP level positively correlated with total, truncal and android fat (r = 0.34, r = 0.28 and r = 0.31; respectively, p 0.00004). α1-AGP level showed no relationship with fat mass but positively correlated with mean glucose, CONGA, M-value and MAG (r = 0.38, r = 0.36, r = 0.43 and r = 0.4; respectively, p 0.0001). Patients with the highest hsCRP levels (75 percentile) had a greater body mass index (p = 0.00009) as well as truncal and android fat mass (p = 0.04 and p = 0.03, respectively) than those with the lowest levels (25 percentile). High level of α1-AGP (75 percentile) was associated with urinary albumin/creatinine ratio (p = 0.01) and GV indices (M-value: p = 0.02, MAG: p = 0.04).Conclusions. Levels of acute-phase proteins (hsCRP and α1-AGP) increased in patients with type 2 diabetes. Levels of hsCRP were associated with fat mass; meanwhile, α1-AGP levels were associated with short-time GV in these patients. The results lend support to the notion that both obesity and enhanced GV are involved in the development of chronic low-grade inflammation associated with type 2 diabetes.
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von Toerne C, Huth C, de Las Heras Gala T, Kronenberg F, Herder C, Koenig W, Meisinger C, Rathmann W, Waldenberger M, Roden M, Peters A, Thorand B, Hauck SM. MASP1, THBS1, GPLD1 and ApoA-IV are novel biomarkers associated with prediabetes: the KORA F4 study. Diabetologia 2016; 59:1882-92. [PMID: 27344311 DOI: 10.1007/s00125-016-4024-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 05/19/2016] [Indexed: 12/31/2022]
Abstract
AIMS/HYPOTHESIS Individuals at a high risk of type 2 diabetes demonstrate moderate impairments in glucose metabolism years before the clinical manifestation of type 2 diabetes, a state called 'prediabetes'. In order to elucidate the pathophysiological processes leading to type 2 diabetes, we aimed to identify protein biomarkers associated with prediabetes. METHODS In a proteomics study, we used targeted selected reaction monitoring (SRM)-MS to quantify 23 candidate proteins in the plasma of 439 randomly selected men and women aged 47-76 years from the population-based German KORA F4 study. Cross-sectional associations of protein levels with prediabetes (impaired fasting glucose and/or impaired glucose tolerance), type 2 diabetes, glucose levels in both the fasting state and 2 h after an OGTT, fasting insulin and insulin resistance were investigated using regression models adjusted for technical covariables, age, sex, BMI, smoking, alcohol intake, physical inactivity, actual hypertension, triacylglycerol levels, total cholesterol/HDL-cholesterol ratio, and high-sensitivity C-reactive protein levels. RESULTS Mannan-binding lectin serine peptidase 1 (MASP1; OR per SD 1.77 [95% CI 1.26, 2.47]), thrombospondin 1 (THBS1; OR per SD 1.55 [95% CI 1.16, 2.07]) and glycosylphosphatidylinositol-specific phospholipase D1 (GPLD1; OR per SD 1.40 [95% CI 1.01, 1.94]) were positively associated with prediabetes, and apolipoprotein A-IV (ApoA-IV; OR per SD 0.75 [95% CI 0.56, 1.00]) was inversely associated with prediabetes. MASP1 was positively associated with fasting and 2 h glucose levels. ApoA-IV was inversely and THBS1 was positively associated with 2 h glucose levels. MASP1 associations with prediabetes and fasting glucose resisted Bonferroni correction. Type 2 diabetes associations were partly influenced by glucose-lowering medication. CONCLUSIONS/INTERPRETATION We discovered novel and independent associations of prediabetes and related traits with MASP1, and some evidence for associations with THBS1, GPLD1 and ApoA-IV, suggesting a role for these proteins in the pathophysiology of type 2 diabetes.
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Affiliation(s)
- Christine von Toerne
- Research Unit Protein Science, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764, München, Germany.
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
| | - Cornelia Huth
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Tonia de Las Heras Gala
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christian Herder
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Koenig
- Department of Internal Medicine II - Cardiology, University of Ulm Medical Center, Ulm, Germany
- Deutsches Herzzentrum München, Technische Universität München, München, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, München, Germany
| | - Christa Meisinger
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- MONICA/KORA Myocardial Infarction Registry, Central Hospital of Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefanie M Hauck
- Research Unit Protein Science, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
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Berezin AE. Diabetes mellitus related biomarker: The predictive role of growth-differentiation factor-15. Diabetes Metab Syndr 2016; 10:S154-S157. [PMID: 26482961 DOI: 10.1016/j.dsx.2015.09.016] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 09/27/2015] [Indexed: 12/23/2022]
Abstract
Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine, which belongs to super family of the transforming growth factor beta. GDF-15 is widely presented in the various cells (macrophages, vascular smooth muscle cells, adipocytes, cardiomyocytes, endothelial cells, fibroblasts), tissues (adipose tissue, vessels, tissues of central and peripheral nervous system) and organs (heart, brain, liver, placenta) and it plays an important role in the regulation of the inflammatory response, growth and cell differentiation. Elevated GDF-15 was found in patients with established CV diseases including hypertension, stable coronary artery disease, acute coronary syndrome, myocardial infarction, ischemic and none ischemic-induced cardiomyopathies, heart failure, atrial fibrillation, as well as stroke, type two diabetes mellitus (T2DM), chronic kidney disease, infection, liver cirrhosis, malignancy. Therefore, aging, smoking, and various environmental factors, i.e. chemical pollutants are other risk factors that might increase serum GDF-15 level. Although GDF-15 has been reported to be involved in energy homoeostasis and weight loss, to have anti-inflammatory properties, and to predict CV diseases and CV events in general or established CV disease population, there is no large of body of evidence regarding predictive role of elevated GDF-15 in T2DM subjects. The mini review is clarified the role of GDF-15 in T2DM subjects.
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Affiliation(s)
- Alexander E Berezin
- Internal Medicine Department, State Medical University, 26, Mayakovsky av., Zaporozhye 69035, Ukraine.
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