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Calcaterra V, Cena H, Bolpagni F, Taranto S, Vincenti A, Madini N, Diotti M, Quatrale A, Zuccotti G. The Interplay Between Iron Metabolism and Insulin Resistance: A Key Factor in Optimizing Obesity Management in Children and Adolescents. Nutrients 2025; 17:1211. [PMID: 40218969 PMCID: PMC11990199 DOI: 10.3390/nu17071211] [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: 03/06/2025] [Revised: 03/20/2025] [Accepted: 03/27/2025] [Indexed: 04/14/2025] Open
Abstract
Iron plays a vital role in insulin signaling, regulating molecular mechanisms that influence cellular insulin responses. This review explores the link between iron metabolism and insulin resistance (IR) in children and adolescents with obesity. A connection between iron metabolism, iron deficiency (ID), and IR is well-documented, but further longitudinal studies are needed to better understand how iron metabolism influences insulin resistance during childhood and adolescence. This connection warrants attention due to its significant public health implications, as optimizing obesity management could help prevent both ID and metabolic complications in children. Current evidence does not suggest that dietary factors are primary contributors to ID in children. However, there is scientific evidence that weight reduction can restore iron homeostasis in people with obesity. Therefore, efforts should focus on improving dietary habits, increasing awareness of iron's importance, and implementing strategies to address both ID and obesity.
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Affiliation(s)
- Valeria Calcaterra
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy;
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
| | - Hellas Cena
- Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Clinical Nutrition and Dietetics Unit, ICS Maugeri IRCCS, 27100 Pavia, Italy; (F.B.); (A.V.)
| | - Federica Bolpagni
- Clinical Nutrition and Dietetics Unit, ICS Maugeri IRCCS, 27100 Pavia, Italy; (F.B.); (A.V.)
| | - Silvia Taranto
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
| | - Alessandra Vincenti
- Clinical Nutrition and Dietetics Unit, ICS Maugeri IRCCS, 27100 Pavia, Italy; (F.B.); (A.V.)
| | - Nagaia Madini
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
| | - Marianna Diotti
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
| | - Antonia Quatrale
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
| | - Gianvincenzo Zuccotti
- Pediatric Department, Buzzi Children’s Hospital, 20154 Milano, Italy; (S.T.); (N.M.); (M.D.); (A.Q.); (G.Z.)
- Department of Biomedical and Clinical Science, University of Milano, 20157 Milano, Italy
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Wang M, Mo D, Zhang N, Yu H. Ferroptosis in diabetic cardiomyopathy: Advances in cardiac fibroblast-cardiomyocyte interactions. Heliyon 2024; 10:e35219. [PMID: 39165946 PMCID: PMC11334834 DOI: 10.1016/j.heliyon.2024.e35219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/19/2024] [Accepted: 07/24/2024] [Indexed: 08/22/2024] Open
Abstract
Diabetic cardiomyopathy (DCM) is a common complication of diabetes, and its pathogenesis remains elusive. Ferroptosis, a process dependent on iron-mediated cell death, plays a crucial role in DCM via disrupted iron metabolism, lipid peroxidation, and weakened antioxidant defenses. Hyperglycemia, oxidative stress, and inflammation may exacerbate ferroptosis in diabetes. This review emphasizes the interaction between cardiac fibroblasts and cardiomyocytes in DCM, influencing ferroptosis occurrence. By exploring ferroptosis modulation for potential therapeutic targets, this article offers a fresh perspective on DCM treatment. The study systematically covers the interplay, mechanisms, and targeted drugs linked to ferroptosis in DCM development.
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Affiliation(s)
| | | | - Ning Zhang
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Haichu Yu
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
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Ahanchi NS, Fischer AS, Quezada-Pinedo HG, Khatami F, Eisenga MF, Muka T, Vidal PM. Cross-sectional and longitudinal associations of Iron biomarkers and cardiovascular risk factors in pre- and postmenopausal women: leveraging repeated measurements to address natural variability. Cardiovasc Diabetol 2024; 23:158. [PMID: 38715055 PMCID: PMC11077797 DOI: 10.1186/s12933-024-02242-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/21/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status. METHOD Cross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC). RESULTS After multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [β = - 0.59, 95% CI (- 1.10, - 0.08), p = 0.02] and lower diastolic blood pressure [β = - 7.81, 95% CI (- 15.9, - 0.56), p = 0.04]. CONCLUSION In cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.
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Affiliation(s)
- Noushin Sadat Ahanchi
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
| | - Amira Salomé Fischer
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Hugo G Quezada-Pinedo
- Department of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland
- The Generation R Study Group, Rotterdam, Netherlands
| | - Farnaz Khatami
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
- Community Medicine Department, Tehran University of Medical Sciences, Tehran, Iran
| | - Michele F Eisenga
- Division of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, Netherlands
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Epistudia, Bern, Switzerland
| | - Pedro-Marques Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
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Deng W, Zhao Z, Zou T, Kuang T, Wang J. Research Advances in Fusion Protein-Based Drugs for Diabetes Treatment. Diabetes Metab Syndr Obes 2024; 17:343-362. [PMID: 38288338 PMCID: PMC10823413 DOI: 10.2147/dmso.s421527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 12/22/2023] [Indexed: 01/31/2024] Open
Abstract
Diabetes mellitus (DM) is a chronic metabolic disease characterized by elevated blood glucose levels, resulting in multi-organ dysfunction and various complications. Fusion proteins can form multifunctional complexes by combining the target proteins with partner proteins. It has significant advantages in improving the performance of the target proteins, extending their biological half-life, and enhancing patient drug compliance. Fusion protein-based drugs have emerged as promising new drugs in diabetes therapeutics. However, there has not been a systematic review of fusion protein-based drugs for diabetes therapeutics. Hence, we conducted a comprehensive review of published literature on diabetic fusion protein-based drugs for diabetes, with a primary focus on immunoglobulin G (IgG) fragment crystallizable (Fc) region, albumin, and transferrin (TF). This review aims to provide a reference for the subsequent development and clinical application of fusion protein-based drugs in diabetes therapeutics.
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Affiliation(s)
- Wenying Deng
- School of Basic Medical Sciences, University of South China, Hengyang, Hunan Province, 421001, People’s Republic of China
| | - Zeyi Zhao
- School of Basic Medical Sciences, University of South China, Hengyang, Hunan Province, 421001, People’s Republic of China
| | - Tao Zou
- Department of Cardiovascular Medicine, First Affiliated Hospital of University of South China, Hengyang, Hunan Province, 421001, People’s Republic of China
| | - Tongdong Kuang
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi Province, 541199, People’s Republic of China
| | - Jing Wang
- School of Basic Medical Sciences, University of South China, Hengyang, Hunan Province, 421001, People’s Republic of China
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Zhou D, Lu P, Mo X, Yang B, Chen T, Yao Y, Xiong T, Yue L, Yang X. Ferroptosis and metabolic syndrome and complications: association, mechanism, and translational applications. Front Endocrinol (Lausanne) 2024; 14:1248934. [PMID: 38260171 PMCID: PMC10800994 DOI: 10.3389/fendo.2023.1248934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Metabolic syndrome is a medical condition characterized by several metabolic disorders in the body. Long-term metabolic disorders raise the risk of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Therefore, it is essential to actively explore the aetiology of metabolic syndrome (MetS) and its comorbidities to provide effective treatment options. Ferroptosis is a new form of cell death that is characterized by iron overload, lipid peroxide accumulation, and decreased glutathione peroxidase 4(GPX4) activity, and it involves the pathological processes of a variety of diseases. Lipid deposition caused by lipid diseases and iron overload is significant in metabolic syndrome, providing the theoretical conditions for developing ferroptosis. Recent studies have found that the major molecules of ferroptosis are linked to common metabolic syndrome consequences, such as T2DM and atherosclerosis. In this review, we first discussed the mechanics of ferroptosis, the regulatory function of inducers and inhibitors of ferroptosis, and the significance of iron loading in MetS. Next, we summarized the role of ferroptosis in the pathogenesis of MetS, such as obesity, type 2 diabetes, and atherosclerosis. Finally, we discussed relevant ferroptosis-targeted therapies and raised some crucial issues of concern to provide directions for future Mets-related treatments and research.
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Affiliation(s)
- Dongmei Zhou
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Peipei Lu
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Xianglai Mo
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Bing Yang
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Ting Chen
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - You Yao
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Tian Xiong
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Lin Yue
- School of Nursing, Hunan University of Medicine, Huaihua, China
| | - Xi Yang
- Department of Endocrinology, Geriatric Endocrinology and Metabolism, Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, First Affiliated Hospital, Guangxi Medical University, Nanning, China
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Hilton C, Sabaratnam R, Drakesmith H, Karpe F. Iron, glucose and fat metabolism and obesity: an intertwined relationship. Int J Obes (Lond) 2023; 47:554-563. [PMID: 37029208 PMCID: PMC10299911 DOI: 10.1038/s41366-023-01299-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 03/08/2023] [Accepted: 03/16/2023] [Indexed: 04/09/2023]
Abstract
A bidirectional relationship exists between adipose tissue metabolism and iron regulation. Total body fat, fat distribution and exercise influence iron status and components of the iron-regulatory pathway, including hepcidin and erythroferrone. Conversely, whole body and tissue iron stores associate with fat mass and distribution and glucose and lipid metabolism in adipose tissue, liver, and muscle. Manipulation of the iron-regulatory proteins erythroferrone and erythropoietin affects glucose and lipid metabolism. Several lines of evidence suggest that iron accumulation and metabolism may play a role in the development of metabolic diseases including obesity, type 2 diabetes, hyperlipidaemia and non-alcoholic fatty liver disease. In this review we summarise the current understanding of the relationship between iron homoeostasis and metabolic disease.
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Affiliation(s)
- Catriona Hilton
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
| | - Rugivan Sabaratnam
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Hal Drakesmith
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
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Roa-Díaz ZM, Wehrli F, Lambrinoudaki I, Gebhard C, Baumgartner I, Marques-Vidal P, Bano A, Raguindin PF, Muka T. Early menopause and cardiovascular risk factors: a cross-sectional and longitudinal study. Menopause 2023; 30:599-606. [PMID: 37130378 DOI: 10.1097/gme.0000000000002184] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
OBJECTIVE The aim of the study is to evaluate the cross-sectional and longitudinal association of early natural menopause with changes in cardiovascular risk factors (CVRFs). METHODS Postmenopausal women from the Swiss CoLaus study, reporting age at natural menopause (ANM) and having CVRFs measurements (blood lipids, blood pressure, glucose, homeostatic model assessment for insulin resistance [HOMA-IR], and inflammatory markers) at baseline (2003-2006) and first follow-up (2009-2012) were eligible for analysis. Age at natural menopause was analyzed as a continuous variable and in categories (ANM <45 and ≥45 y old). Linear regression analysis and linear mixed models were used to assess whether ANM is associated cross-sectionally and longitudinally with changes in CVRFs. Models were adjusted for demographic characteristics, lifestyle-related factors, time since menopause, medication, and clinical conditions. RESULTS We analyzed 981 postmenopausal women. The cross-sectional analysis showed that women with ANM younger than 45 years had lower diastolic blood pressure (β = -3.76 mm Hg; 95% confidence interval [CI] = -5.86 to -1.65) compared with women whose ANM was 45 years or older. In the longitudinal analysis, ANM younger than 45 years was associated with changes in log insulin (β = 0.26; 95% CI = 0.08 to 0.45) and log homeostatic model assessment for insulin resistance levels (β = 0.28; 95% CI = 0.08 to 0.48). No associations were found between ANM and other CVRFs. CONCLUSIONS Early menopause may be associated with changes in glucose metabolism, while it may have little to no impact on other CVRFs. Larger longitudinal studies are needed to replicate our findings.
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Affiliation(s)
| | - Faina Wehrli
- From the Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Irene Lambrinoudaki
- Department of Obstetrics and Gynecology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Iris Baumgartner
- Division of Angiology, Swiss Cardiovascular Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
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Delghingaro-Augusto V, Hosaka A, Estaphan S, Richardson A, Dahlstrom JE, Nolan CJ. High Dietary Iron in Western Diet-Fed Male Rats Causes Pancreatic Islet Injury and Acute Pancreatitis. J Nutr 2023; 153:723-732. [PMID: 36931751 DOI: 10.1016/j.tjnut.2023.01.009] [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: 11/23/2022] [Revised: 12/30/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND High dietary iron has been linked to an increased type 2 diabetes risk. We have previously shown that intrauterine growth restriction (IUGR) and feeding a Western diet (WD) to male Sprague-Dawley rats independently, as well as together, cause pancreatic islet inflammation, fibrosis, and hemosiderosis. OBJECTIVES To investigate whether iron has a role in the pathogenesis of this inflammatory islet injury caused by IUGR and WD intake. METHODS Male Sprague-Dawley offspring of bilateral uterine artery ligated (IUGR) and sham-operated (Sham) dams, fostered to nonoperated dams, were fed a WD [45% sucrose, 19.4% protein and 23% fat (w/w)] containing low iron (LI, 20 mg/kg) or high iron (HI, 500 mg/kg) from weaning. Four groups were studied: Sham-LI, Sham-HI, IUGR-LI, and IUGR-HI. Serial measurements of rat body weight, blood glucose, lipids and insulin, an intraperitoneal glucose tolerance test (age 13 wk), and histological analysis of pancreas and liver (age 14 wk) were recorded. The effects of iron, IUGR, and their interaction, on these measurements have been analyzed. RESULTS WD with HI compared with LI caused an 11% greater weight gain by age 14 wk (P < 0.001), impaired glucose tolerance [AUC for glucose (G-AUC) 17% higher; P < 0.001), acute pancreatitis (17/18, HI; 6/17, LI; P < 0.001), pancreas-associated fat necrosis and saponification (7/18, HI; 0/17 LI; P < 0.01), and a trend to islet fibrotic injury (7/18, HI; 1/17 LI; P = 0.051). Although pancreatic and hepatic steatosis was evident in almost all WD-fed rats, pancreatic and hepatic iron accumulation was prevalent only in HI-fed rats (P < 0.0001 for both), being only mild in the livers. IUGR, independent of dietary iron, also caused impairment in glucose tolerance (G-AUC: 17% higher; P < 0.05). CONCLUSIONS A postweaning WD containing HI, independent of IUGR, causes acute pancreatitis and islet injury in Sprague-Dawley rats suggesting a role of dietary iron in the development of steatopancreatitis.
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Affiliation(s)
- Viviane Delghingaro-Augusto
- Australian National University Medical School, Australian National University, Canberra, Australia; Department of Immunology and Infectious Disease, John Curtin School of Medical Research, Australian National University, Canberra, Australia.
| | - Ayumi Hosaka
- Faculty of Veterinary Science, University of Sydney, Camperdown, Australia; Pre-Clinical Research Services and Education, The Canberra Hospital, Garran, Australia
| | - Suzanne Estaphan
- Australian National University Medical School, Australian National University, Canberra, Australia
| | - Alice Richardson
- Statistical Support Network, Australian National University, Canberra, Australia
| | - Jane E Dahlstrom
- Australian National University Medical School, Australian National University, Canberra, Australia; Department of Anatomical Pathology, ACT Pathology, The Canberra Hospital, Australia
| | - Christopher J Nolan
- Australian National University Medical School, Australian National University, Canberra, Australia; Department of Immunology and Infectious Disease, John Curtin School of Medical Research, Australian National University, Canberra, Australia; Department of Endocrinology, The Canberra Hospital, Garran, Australia
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Qin Y, Huang Y, Li Y, Qin L, Wei Q, Chen X, Yang C, Zhang M. Association between systemic iron status and β-cell function and insulin sensitivity in patients with newly diagnosed type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1143919. [PMID: 37077360 PMCID: PMC10107407 DOI: 10.3389/fendo.2023.1143919] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/14/2023] [Indexed: 04/05/2023] Open
Abstract
OBJECTIVE Abnormal iron metabolism is related to the risk of diabetes, but the underlying mechanism of this association remains uncertain. This study was conducted to evaluate the contributions of systemic iron status to β-cell function and insulin sensitivity of patients with newly diagnosed T2DM. METHODS A total of 162 patients with newly diagnosed T2DM and 162 healthy controls were enrolled in the study. Basic characteristics, biochemical indicators, and iron metabolism biomarkers, including serum iron (SI), ferritin (SF), transferrin (Trf), and transferrin saturation (TS), were collected. All patients underwent a 75 g oral glucose tolerance test. A series of parameters for assessing β-cell function and insulin sensitivity were calculated. The multivariate stepwise linear regression model was used to investigate the contributions of iron metabolism to β-cell function and insulin sensitivity. RESULTS Compared with healthy controls, patients with newly diagnosed T2DM had significantly higher levels of SF. Among the diabetic patients, the SI and TS levels were higher, and the percentage of Trf levels below normal values was lower in men than in women. In all diabetic patients, SF was the independent risk factor associated with impaired β-cell function. Further stratification analysis showed that Trf was an independent protective factor for β-cell function in male patients, while SF was an independent risk factor for impaired β-cell function in female patients. However, systemic iron status did not affect insulin sensitivity. CONCLUSION Elevated SF levels and decreased Trf levels had a profound effect on impaired β-cell function in Chinese patients with newly diagnosed T2DM.
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Affiliation(s)
- Yao Qin
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yiting Huang
- Department of Clinical Nutrition, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yuxiao Li
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Qin
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qianying Wei
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin Chen
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chuanhui Yang
- Department of Endocrinology, the First People’s Hospital of Lianyungang, Lianyungang, China
| | - Mei Zhang
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Mei Zhang,
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Bean LD, Wing JJ, Harris RE, Smart SM, Raman SV, Milks MW. Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease. BMC Cardiovasc Disord 2022; 22:209. [PMID: 35538408 PMCID: PMC9087975 DOI: 10.1186/s12872-022-02644-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/18/2022] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Trimethylamine-N-oxide (TMAO) is a circulating biomarker associated with cardiovascular disease (CVD). Production of TMAO is facilitated by gut microbiota and dependent on micronutrients such as choline, betaine, and L-carnitine, present in foods such as red meat and eggs. HYPOTHESIS We sought to predict serum TMAO quartile levels among healthy individuals at increased risk of CVD using clinical data via an ordinal logistic model. METHODS Data from participants (n = 127) enrolled in a longitudinal observational study on CVD were used to build a predictive model for TMAO using ordinal logistic regression with demographic variables and 40 other variables considered related to CVD risk. First, univariate models for each covariate were tested (with serum TMAO quartiles as the dependent variable), and only variables with P < 0.30 were evaluated further. Second, demographic variables (age, gender, white vs. non-white race) were included in a multivariable model with each previously identified independent variable controlling for potential confounding. Last, the final model included fixed demographics and candidates from the confounder-adjusted model with P < 0.10. RESULTS Eight candidate variables were included in the final model, with only transferrin, high-density lipoprotein cholesterol (HDL-C) and race (white vs. non-white) showing significant associations with TMAO. Participants had 0.16 (Q2), 0.31 (Q3), and 0.20 (Q4) odds of being in a higher TMAO quartile compared with participants in the lowest transferrin quartile. Non-white participants had 2.92 times higher odds of being in the highest TMAO quartile compared to white individuals. Participants in the second quartile of HDL-C had 2.68 times higher odds of being in a higher TMAO quartile compared with participants in the lowest HDL-C quartile. CONCLUSIONS Transferrin demonstrated a significant predictive association with TMAO and may represent a novel potential biomarker of increased CVD risk worthy of further study. These results warrant further examination of iron, metabolism, homeostasis, and gut microbiome to better understand and mitigate known increased CVD risk.
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Affiliation(s)
- Lamuel D Bean
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Jeffrey J Wing
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Randall E Harris
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Suzanne M Smart
- Davis Heart and Lung Research Institute, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Subha V Raman
- Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M Wesley Milks
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Wexner Medical Center, 473 W 12th Ave Suite 200, Columbus, OH, 43210, USA.
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The (Bio)Chemistry of Non-Transferrin-Bound Iron. Molecules 2022; 27:molecules27061784. [PMID: 35335148 PMCID: PMC8951307 DOI: 10.3390/molecules27061784] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/04/2022] [Accepted: 03/07/2022] [Indexed: 12/14/2022] Open
Abstract
In healthy individuals, virtually all blood plasma iron is bound by transferrin. However, in several diseases and clinical conditions, hazardous non-transferrin-bound iron (NTBI) species occur. NTBI represents a potentially toxic iron form, being a direct cause of oxidative stress in the circulating compartment and tissue iron loading. The accumulation of these species can cause cellular damage in several organs, namely, the liver, spleen, and heart. Despite its pathophysiological relevance, the chemical nature of NTBI remains elusive. This has precluded its use as a clinical biochemical marker and the development of targeted therapies. Herein, we make a critical assessment of the current knowledge of NTBI speciation. The currently accepted hypotheses suggest that NTBI is mostly iron bound to citric acid and iron bound to serum albumin, but the chemistry of this system remains fuzzy. We explore the complex chemistry of iron complexation by citric acid and its implications towards NTBI reactivity. Further, the ability of albumin to bind iron is revised and the role of protein post-translational modifications on iron binding is discussed. The characterization of the NTBI species structure may be the starting point for the development of a standardized analytical assay, the better understanding of these species’ reactivity or the identification of NTBI uptake mechanisms by different cell types, and finally, to the development of new therapies.
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12
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Association between Habitual Dietary Iron Intake and Glucose Metabolism in Individuals after Acute Pancreatitis. Nutrients 2020; 12:nu12113579. [PMID: 33266432 PMCID: PMC7700518 DOI: 10.3390/nu12113579] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 12/12/2022] Open
Abstract
Dietary intake of iron is known to be associated with impaired glucose metabolism. However, its involvement in derangements of glucose metabolism after acute pancreatitis (AP) is not completely understood. The aim was to investigate the association between dietary iron intake and markers of glucose metabolism in individuals after an attack of AP. Fasting blood samples were collected to analyse markers of glucose metabolism (fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c)). The EPIC-Norfolk food frequency questionnaire was used to determine the habitual intake of dietary iron (total, haem, and non-haem). Multivariable linear regression analyses were conducted and six statistical models were built to adjust for covariates. A total of 109 individuals after AP were studied in a cross-sectional fashion. Total iron (β (95% confidence interval) = -0.19 (-0.35, -0.05); p = 0.01 in the most adjusted model) and non-haem iron (β (95% confidence interval) = -0.19 (-0.33, -0.04); p = 0.03 in the most adjusted model) were significantly associated with FPG, consistently in all adjusted model. Total iron and non-haem iron did not have consistent significant associations with HbA1c. Dietary haem iron intake was not associated with either FPG or HbA1c. Habitual intake of dietary iron is inversely associated with FPG in individuals after an attack of AP and may be involved in the pathogenesis of new-onset diabetes after pancreatitis. Prospective longitudinal studies are now warranted to unveil the specific mechanism underlying the involvement of dietary iron.
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13
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Kim JD, Lim DM, Park KY, Park SE, Rhee EJ, Park CY, Lee WY, Oh KW. Serum Transferrin Predicts New-Onset Type 2 Diabetes in Koreans: A 4-Year Retrospective Longitudinal Study. Endocrinol Metab (Seoul) 2020; 35:610-617. [PMID: 32981303 PMCID: PMC7520588 DOI: 10.3803/enm.2020.721] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 08/10/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND It is well known that high serum ferritin, a marker of iron storage, predicts incident type 2 diabetes. Limited information is available on the association between transferrin, another marker of iron metabolism, and type 2 diabetes. Thus, we investigated the association between transferrin and incident type 2 diabetes. METHODS Total 31,717 participants (mean age, 40.4±7.2 years) in a health screening program in 2005 were assessed via cross-sectional analysis. We included 30,699 subjects who underwent medical check-up in 2005 and 2009 and did not have type 2 diabetes at baseline in this retrospective longitudinal analysis. RESULTS The serum transferrin level was higher in the type 2 diabetes group than in the non-type 2 diabetes group (58.32±7.74 μmol/L vs. 56.17±7.96 μmol/L, P<0.001). Transferrin correlated with fasting serum glucose and glycosylated hemoglobin in the correlational analysis (r=0.062, P<0.001 and r=0.077, P<0.001, respectively) after full adjustment for covariates. Transferrin was more closely related to homeostasis model assessment of insulin resistance than to homeostasis model assessment of β cell function (r=0.042, P<0.001 and r=-0.019, P=0.004, respectively) after full adjustment. Transferrin predicted incident type 2 diabetes in non-type 2 diabetic subjects in a multivariate linear regression analysis; the odds ratio (95% confidence interval [CI]) of the 3rd tertile compared to that in the 1st tertile of transferrin for incident diabetes was 1.319 (95% CI, 1.082 to 1.607) after full adjustment (P=0.006). CONCLUSION Transferrin is positively associated with incident type 2 diabetes in Koreans.
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Affiliation(s)
- Jong Dai Kim
- Division of Endocrinology, Department of Internal Medicine, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea
| | - Dong-Mee Lim
- Division of Endocrinology, Department of Internal Medicine, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea
| | - Keun-Young Park
- Division of Endocrinology, Department of Internal Medicine, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea
| | - Se Eun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun Jung Rhee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won-Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ki Won Oh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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14
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Vaquero MP, Martínez-Maqueda D, Gallego-Narbón A, Zapatera B, Pérez-Jiménez J. Relationship between iron status markers and insulin resistance: an exploratory study in subjects with excess body weight. PeerJ 2020; 8:e9528. [PMID: 32821534 PMCID: PMC7397981 DOI: 10.7717/peerj.9528] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 06/21/2020] [Indexed: 12/12/2022] Open
Abstract
Background Controversy exists on the relationship between iron metabolism and cardiometabolic risk. The aim of this study was to determine if there is a link between dysmetabolic iron and cardiometabolic markers in subjects with excess body weight. Methods Cross-sectional study with fifty participants presenting overweight or obesity and at least another metabolic syndrome factor. Determinations: anthropometry, body composition, blood pressure, lipids, glucose, insulin, leptin, areas under the curve (AUC) for glucose and insulin after an oral glucose tolerance test, hs-C reactive protein (hs-CRP), blood count, ferritin, transferrin, transferrin saturation (TSAT), soluble transferrin receptor (sTfR). Gender-adjusted linear correlations and two independent samples t tests were used. Results Ferritin was positively correlated with insulin-AUC (r = 0.547, p = 0.008) and TSAT was negatively correlated with waist-hip ratio (r = − 0.385, p = 0.008), insulin (r = − 0.551, p < 0.001), and insulin resistance (HOMA-IR, r = − 0.586, p < 0.001). Subjects with TSAT ≤ 20% had higher insulin (p = 0.012) and HOMA-IR (p = 0.003) compared to those with TSAT > 20%. In conclusion, the observed results suggest that iron transport and storage are altered in subjects with overweight/obesity, at the same time that they exhibit the characteristic features of insulin resistance. Nevertheless, this occurs without iron overload or deficiency. These results should be validated in wider cohorts since they suggest that iron transport and storage should be assessed when performing the clinical evaluation of subjects with excess body weight.
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Affiliation(s)
- M Pilar Vaquero
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), Madrid, Spain
| | - Daniel Martínez-Maqueda
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), Madrid, Spain.,Madrid Institute for Rural, Agricultural and Food Research and Development (IMIDRA), Madrid, Spain
| | - Angélica Gallego-Narbón
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), Madrid, Spain.,Department of Biology, Universidad Autónoma de Madrid (UAM), Madrid, Spain, España
| | - Belén Zapatera
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), Madrid, Spain
| | - Jara Pérez-Jiménez
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN-CSIC), Madrid, Spain
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15
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Enhanced insulin signaling and its downstream effects in iron-overloaded primary hepatocytes from hepcidin knock-out mice. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2020; 1867:118621. [DOI: 10.1016/j.bbamcr.2019.118621] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 11/08/2019] [Accepted: 12/03/2019] [Indexed: 12/22/2022]
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16
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Tatsch E, De Carvalho JAM, Bollick YS, Duarte T, Duarte MMMF, Vaucher RA, Premaor MO, Comim FV, Moresco RN. Low frataxin mRNA expression is associated with inflammation and oxidative stress in patients with type 2 diabetes. Diabetes Metab Res Rev 2020; 36:e3208. [PMID: 31343823 DOI: 10.1002/dmrr.3208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 06/04/2019] [Accepted: 07/16/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND The mitochondrial protein frataxin is involved in iron metabolism, as well as regulation of oxidative stress. To elucidate the association of frataxin with the pathophysiology of diabetes, we evaluated the mRNA levels of frataxin in leukocytes of patients with type 2 diabetes (T2D). In addition, we investigated the relation between frataxin mRNA levels, inflammatory cytokines, and oxidative stress biomarkers. METHODS A study including 150 subjects (115 patients with T2D and 35 healthy subjects) was performed to evaluate the frataxin mRNA levels in leukocytes. We assessed the relation between frataxin and interleukin (IL)-6, IL-1, tumour necrosis factor-alpha (TNF-α), total oxidation status (TOS), total antioxidant capacity (TAC), and serum iron. RESULTS The frataxin mRNA levels in the T2D group were significantly lower than those in healthy subjects. It was also demonstrated that T2D patients with frataxin mRNA levels in the lowest quartile had significantly elevated levels of serum iron, TOS, and inflammatory cytokines, such as TNF-α, IL-1, and IL-6, while TAC levels were significantly lower in this quartile when compared with the upper quartile. CONCLUSIONS Our findings showed that T2D patients with low frataxin mRNA levels showed a high degree of inflammation and oxidative stress. It is speculated that frataxin deficiency in T2D patients can contribute to the imbalance in mitochondrial iron homeostasis leading to the acceleration of oxidative stress and inflammation.
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Affiliation(s)
- Etiane Tatsch
- Laboratory of Clinical Biochemistry, Department of Clinical and Toxicological Analysis, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - José A M De Carvalho
- Laboratory of Clinical Biochemistry, Department of Clinical and Toxicological Analysis, Federal University of Santa Maria, Santa Maria, RS, Brazil
- Laboratory of Clinical Analysis, University Hospital, Santa Maria, RS, Brazil
| | - Yãnaí S Bollick
- Laboratory of Clinical Biochemistry, Department of Clinical and Toxicological Analysis, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - Thiago Duarte
- Laboratory of Biogenomic, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - Marta M M F Duarte
- Department of Health Sciences, Lutheran University of Brazil, Santa Maria, RS, Brazil
| | - Rodrigo A Vaucher
- Center of Chemical, Pharmaceutical and Food Sciences, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Melissa O Premaor
- Department of Clinical Medicine, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - Fabio V Comim
- Department of Clinical Medicine, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - Rafael N Moresco
- Laboratory of Clinical Biochemistry, Department of Clinical and Toxicological Analysis, Federal University of Santa Maria, Santa Maria, RS, Brazil
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17
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Ryan BJ, Van Pelt DW, Guth LM, Ludzki AC, Gioscia-Ryan RA, Ahn C, Foug KL, Horowitz JF. Plasma ferritin concentration is positively associated with in vivo fatty acid mobilization and insulin resistance in obese women. Exp Physiol 2018; 103:1443-1447. [PMID: 30178895 DOI: 10.1113/ep087283] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 08/31/2018] [Indexed: 01/27/2023]
Abstract
NEW FINDINGS What is the central question of this study? Do obese women with relatively high whole-body iron stores exhibit elevated in vivo rates of fatty acid (FA) release from adipose tissue compared with a well-matched cohort of obese women with relatively low iron stores? What is the main finding and its importance? Obese women with high plasma [ferritin] (a marker of whole-body iron stores) had greater FA mobilization, lipolytic activation in adipose tissue and insulin resistance (IR) compared with obese women with lower plasma [ferritin]. Given that elevated FA mobilization is intimately linked with the development of IR, these findings suggest that elevated iron stores might contribute to IR in obesity by increasing systemic FA availability. ABSTRACT High rates of fatty acid (FA) mobilization from adipose tissue are associated with insulin resistance (IR) in obesity. In vitro evidence suggests that iron stimulates lipolysis in adipocytes, but whether iron is related to in vivo FA mobilization is unknown. We hypothesized that plasma ferritin concentration ([ferritin]), a marker of body iron stores, would be positively associated with FA mobilization. We measured [ferritin], the rate of appearance of FA in the systemic circulation (FA Ra; stable isotope dilution), key adipose tissue lipolytic proteins and IR (hyperinsulinaemic-euglycaemic clamp) in 20 obese, premenopausal women. [Ferritin] was correlated with FA Ra (r = 0.65; P = 0.002) and IR (r = 0.57; P = 0.008); these relationships remained significant after controlling for body mass index and plasma [C-reactive protein] (a marker of systemic inflammation) in multiple regression analyses. We then stratified subjects into tertiles based on [ferritin] to compare subjects with 'High-ferritin' versus 'Low-ferritin'. Plasma [hepcidin] was more than fivefold greater (P < 0.05) in the High-ferritin versus Low-ferritin group, but there was no difference in plasma [C-reactive protein] between groups, indicating that the large difference in plasma [ferritin] reflects a difference in iron stores, not systemic inflammation. We found that FA Ra, adipose protein abundance of hormone-sensitive lipase and adipose triglyceride lipase, and IR were significantly greater in subjects with High-ferritin versus Low-ferritin (all P < 0.05). These data provide the first evidence linking iron and in vivo FA mobilization and suggest that elevated iron stores might contribute to IR in obesity by increasing systemic FA availability.
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Affiliation(s)
- Benjamin J Ryan
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Douglas W Van Pelt
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Lisa M Guth
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Alison C Ludzki
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Rachel A Gioscia-Ryan
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Chiwoon Ahn
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Katherine L Foug
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey F Horowitz
- Substrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
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18
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Tabassum A, Zaidi SNF, Yasmeen K, Mahboob T. Potential role of peroxisome proliferator activated receptor gamma activation on serum visfatin and trace elements in high fat diet induced type 2 diabetes mellitus. Life Sci 2018; 205:164-175. [DOI: 10.1016/j.lfs.2018.05.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 05/10/2018] [Accepted: 05/12/2018] [Indexed: 01/08/2023]
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19
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Aregbesola A, de Mello VDF, Lindström J, Voutilainen S, Virtanen JK, Keinänen-Kiukaanniemi S, Tuomainen TP, Tuomilehto J, Uusitupa M. Serum adiponectin/Ferritin ratio in relation to the risk of type 2 diabetes and insulin sensitivity. Diabetes Res Clin Pract 2018; 141:264-274. [PMID: 29777745 DOI: 10.1016/j.diabres.2018.05.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 04/21/2018] [Accepted: 05/08/2018] [Indexed: 12/15/2022]
Abstract
AIMS Body iron inhibits the metabolism of adiponectin, an insulin sensitizing adipokine. We investigated the relationships of baseline and average of 4-year change in values of serum adiponectin (sA), serum ferritin (sF) and sA/sF ratio on type 2 diabetes (T2D) risk and insulin sensitivity (Matsuda ISI) and secretion (disposition index; DI30). METHODS Prospective analyses were conducted in participants with impaired glucose tolerance of the Finnish Diabetes Prevention Study (n = 516) recruited in 1993-1998. Cox and linear regression analyses were used to investigate the associations of sA, sF and sA/sF ratio, as continuous variables, with incident T2D, Matsuda ISI, and DI30. RESULTS During the mean follow-up of 8.2 years, 157 incident T2D cases occurred (intervention group, n = 65 and control group, n = 92). In adjusted models, baseline sA and sA/sF ratio were inversely associated with T2D risk (HR = 0.49, 95% CI 0.31-0.76, P = 0.002 and HR = 0.83, 95% CI 0.70-0.99, P = 0.044, respectively). Furthermore, a direct association was observed with Matsuda ISI (β=0.13, 95% CI 0.03-0.22, P = 0.009, for sA and β=0.04, 95% CI 0.01-0.07, P = 0.035, for sA/sF ratio) during the average 4-year follow-up. The changes in sA and sA/sF ratio were also inversely associated with T2D risk (HR = 0.36, 95% CI 0.20-0.63, P < 0.001 and HR = 0.76, 95% CI 0.62-0.92, P = 0.006, respectively), and directly with Matsuda ISI (β=0.27, 95% CI 0.17-0.38, P < 0.001, for sA and β=0.07, 95% CI 0.03-0.11, P < 0.001, for sA/sF ratio). No consistent associations were found with DI30. CONCLUSIONS: Baseline levels and changes during the follow-up in sA and sA/sF ratio are related to T2D risk and insulin sensitivity.
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Affiliation(s)
- Alex Aregbesola
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland.
| | - Vanessa D F de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland
| | - Jaana Lindström
- Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Sari Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, Finland; Medical Research Center and Unit of General Practice, Oulu University Hospital and Oulu Health Center, Oulu, Finland
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland
| | - Jaakko Tuomilehto
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria; Dasman Diabetes Institute, Dasman, Kuwait; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, P.O. Box 1627, FI70211 Kuopio, Finland
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20
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Vela D, Sopi RB, Mladenov M. Low Hepcidin in Type 2 Diabetes Mellitus: Examining the Molecular Links and Their Clinical Implications. Can J Diabetes 2018; 42:179-187. [DOI: 10.1016/j.jcjd.2017.04.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 04/18/2017] [Accepted: 04/21/2017] [Indexed: 01/14/2023]
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21
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Zacharski LR, Shamayeva G, Chow BK. Iron reduction response and demographic differences between diabetics and non-diabetics with cardiovascular disease entered into a controlled clinical trial. Metallomics 2018; 10:264-277. [DOI: 10.1039/c7mt00282c] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Filings of elemental iron separated magnetically from a homogenate of breakfast cereal implicated in the risk of cardiovascular disease and diabetes.
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Affiliation(s)
- Leo R. Zacharski
- Veterans Affairs New England Health Care System
- Research Service (151)
- VA Medical Center
- White River Jct
- USA
| | - Galina Shamayeva
- Veterans Affairs Cooperative Studies Program Coordinating Center
- Veterans Affairs Palo Alto Health Care System
- Palo Alto
- USA
| | - Bruce K. Chow
- Veterans Affairs Cooperative Studies Program Coordinating Center
- Veterans Affairs Palo Alto Health Care System
- Palo Alto
- USA
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22
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Zanzoni S, Pagano K, D'Onofrio M, Assfalg M, Ciambellotti S, Bernacchioni C, Turano P, Aime S, Ragona L, Molinari H. Unsaturated Long-Chain Fatty Acids Are Preferred Ferritin Ligands That Enhance Iron Biomineralization. Chemistry 2017; 23:9879-9887. [PMID: 28489257 DOI: 10.1002/chem.201701164] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Indexed: 12/20/2022]
Abstract
Ferritin is a ubiquitous nanocage protein, which can accommodate up to thousands of iron atoms inside its cavity. Aside from its iron storage function, a new role as a fatty acid binder has been proposed for this protein. The interaction of apo horse spleen ferritin (HoSF) with a variety of lipids has been here investigated through NMR spectroscopic ligand-based experiments, to provide new insights into the mechanism of ferritin-lipid interactions, and the link with iron mineralization. 1D 1 H, diffusion (DOSY) and saturation-transfer difference (STD) NMR experiments provided evidence for a stronger interaction of ferritin with unsaturated fatty acids compared to saturated fatty acids, detergents, and bile acids. Mineralization assays showed that oleate c aused the most efficient increase in the initial rate of iron oxidation, and the highest formation of ferric species in HoSF. The comprehension of the factors inducing a faster biomineralization is an issue of the utmost importance, given the association of ferritin levels with metabolic syndromes, such as insulin resistance and diabetes, characterized by fatty acid concentration dysregulation. The human ferritin H-chain homopolymer (HuHF), featuring ferroxidase activity, was also tested for its fatty acid binding capabilities. Assays show that oleate can bind with high affinity to HuHF, without altering the reaction rates at the ferroxidase site.
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Affiliation(s)
- Serena Zanzoni
- NMR Laboratory, Biotechnology Department, Università di Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Katiuscia Pagano
- Istituto per lo Studio delle Macromolecole, CNR, Via Corti 12, 20133, Milano, Italy
| | - Mariapina D'Onofrio
- NMR Laboratory, Biotechnology Department, Università di Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Michael Assfalg
- NMR Laboratory, Biotechnology Department, Università di Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Silvia Ciambellotti
- Dipartimento di Chimica, Università di Firenze, Via Della Lastruccia 3, Sesto Fiorentino, 50019, Firenze, Italy.,CERM, Università di Firenze, Via L. Sacconi 6, Sesto Fiorentino, 50019, Firenze, Italy
| | - Caterina Bernacchioni
- Dipartimento di Chimica, Università di Firenze, Via Della Lastruccia 3, Sesto Fiorentino, 50019, Firenze, Italy.,CERM, Università di Firenze, Via L. Sacconi 6, Sesto Fiorentino, 50019, Firenze, Italy
| | - Paola Turano
- Dipartimento di Chimica, Università di Firenze, Via Della Lastruccia 3, Sesto Fiorentino, 50019, Firenze, Italy.,CERM, Università di Firenze, Via L. Sacconi 6, Sesto Fiorentino, 50019, Firenze, Italy
| | - Silvio Aime
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, Università di Torino, Torino, Italy.,IBB-CNR-UOS, Università di Torino, Torino, Italy
| | - Laura Ragona
- Istituto per lo Studio delle Macromolecole, CNR, Via Corti 12, 20133, Milano, Italy
| | - Henriette Molinari
- Istituto per lo Studio delle Macromolecole, CNR, Via Corti 12, 20133, Milano, Italy
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23
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Wang YL, Koh WP, Yuan JM, Pan A. Plasma ferritin, C-reactive protein, and risk of incident type 2 diabetes in Singapore Chinese men and women. Diabetes Res Clin Pract 2017; 128:109-118. [PMID: 28448891 DOI: 10.1016/j.diabres.2017.04.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 03/31/2017] [Accepted: 04/07/2017] [Indexed: 01/05/2023]
Abstract
AIMS Ferritin is postulated to be involved in diabetogenesis as a marker of iron stores. We prospectively examined the association between ferritin levels and type 2 diabetes (T2D) risk in a Chinese population. METHODS Plasma ferritin concentrations were assayed among 485 diabetes cases and 485 controls nested within the Singapore Chinese Health Study. Cases and controls were matched on age, gender, date of blood collection, and dialect group. Participants were free of diagnosed diabetes, cardiovascular disease, and cancer at blood collection (1999-2004). Incident self-reported T2D cases were identified at follow-up II interview (2006-2010). Multivariable conditional logistic regression models were used to compute the odds ratio (OR) and the corresponding 95% confidence intervals (CIs). RESULTS After adjusting for T2D risk factors, including high-sensitivity C-reactive protein (hs-CRP), adiponectin, triglycerides, HDL cholesterol and alanine aminotransferase, the OR comparing the highest versus lowest quartile of ferritin levels was 1.87 (95% CI 1.10-3.19) (P-trend=0.004). When the analysis was limited to participants with hs-CRP<1.5mg/L (below median; n=482), the OR comparing extreme quartiles of ferritin levels was 1.16 (95% CI 0.62-2.16; P-trend=0.63); while the corresponding OR was 2.51 (95% CI 1.31-4.79; P-trend<0.001) when confined to those with hs-CRP≥1.5mg/L (n=488; P-interaction=0.022). Compared to participants with both ferritin and hs-CRP levels below median, those with both levels above median had markedly increased T2D risk (P-interaction for multiplicative scale=0.037). CONCLUSIONS The elevation of blood ferritin levels, in the presence of raised hs-CRP, was significantly associated with increased risk of T2D.
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Affiliation(s)
- Ye-Li Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 117549, Singapore.
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 117549, Singapore; Duke-NUS Medical School, Singapore 169857, Singapore.
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA 15232, USA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
| | - An Pan
- Department of Epidemiology and Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province 430030, China.
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Akter S, Nanri A, Kuwahara K, Matsushita Y, Nakagawa T, Konishi M, Honda T, Yamamoto S, Hayashi T, Noda M, Mizoue T. Circulating ferritin concentrations and risk of type 2 diabetes in Japanese individuals. J Diabetes Investig 2017; 8:462-470. [PMID: 28060459 PMCID: PMC5497053 DOI: 10.1111/jdi.12617] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 12/16/2016] [Accepted: 01/01/2017] [Indexed: 12/13/2022] Open
Abstract
AIMS/INTRODUCTION Higher iron storage has been linked to an increased risk of type 2 diabetes, but little is known about the mediator of this association. Here, we prospectively investigated the association between circulating ferritin, a marker of iron storage, and the incidence of type 2 diabetes among Japanese individuals. MATERIALS AND METHODS The participants were 4,754 employees who attended a comprehensive health check-up in 2008-2009 and donated blood for the study. During 5 years of follow up, diabetes was identified based on plasma glucose, glycated hemoglobin and self-report. Two controls matched to each case on sex, age and date of check-up were randomly chosen using density sampling, giving 327 cases and 641 controls with ferritin measurement. Cox proportional hazards regression was used to estimate the hazard ratio while adjusting for a series of potential confounders or mediators. RESULTS Elevated serum ferritin levels were associated with a significantly increased risk of type 2 diabetes, with the hazard ratio adjusted for known risk factors in the highest vs lowest quartile of 1.42 (95% confidence interval: 1.03-1.96). This association was unchanged after adjustment for C-reactive protein and adiponectin, but attenuated after adjustment for liver enzyme and insulin resistance (hazard ratio 1.04). The ferritin-diabetes association was confined to non-obese participants. CONCLUSIONS These results suggest that elevated iron storage is associated with increased risk of type 2 diabetes in normal weight individuals, and that this association is partly mediated through liver dysfunction and resulting insulin resistance.
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Affiliation(s)
- Shamima Akter
- Department of Epidemiology and Prevention, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Akiko Nanri
- Department of Epidemiology and Prevention, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Keisuke Kuwahara
- Department of Epidemiology and Prevention, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.,Teikyo University Graduate School of Public Health, Tokyo, Japan
| | - Yumi Matsushita
- Department of Clinical Research Coordination, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tohru Nakagawa
- Hitachi Health Care Center, Hitachi, Ltd., Ibaraki, Japan
| | - Maki Konishi
- Department of Epidemiology and Prevention, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Toru Honda
- Hitachi Health Care Center, Hitachi, Ltd., Ibaraki, Japan
| | | | | | - Mitsuhiko Noda
- Department of Diabetes Research, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan.,Department of Endocrinology and Diabetes, Saitama Medical University, Saitama, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
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25
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Barton JC, Acton RT. Diabetes in HFE Hemochromatosis. J Diabetes Res 2017; 2017:9826930. [PMID: 28331855 PMCID: PMC5346371 DOI: 10.1155/2017/9826930] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 12/12/2016] [Accepted: 01/04/2017] [Indexed: 02/08/2023] Open
Abstract
Diabetes in whites of European descent with hemochromatosis was first attributed to pancreatic siderosis. Later observations revealed that the pathogenesis of diabetes in HFE hemochromatosis is multifactorial and its clinical manifestations are heterogeneous. Increased type 2 diabetes risk in HFE hemochromatosis is associated with one or more factors, including abnormal iron homeostasis and iron overload, decreased insulin secretion, cirrhosis, diabetes in first-degree relatives, increased body mass index, insulin resistance, and metabolic syndrome. In p.C282Y homozygotes, serum ferritin, usually elevated at hemochromatosis diagnosis, largely reflects body iron stores but not diabetes risk. In persons with diabetes type 2 without hemochromatosis diagnoses, serum ferritin levels are higher than those of persons without diabetes, but most values are within the reference range. Phlebotomy therapy to achieve iron depletion does not improve diabetes control in all persons with HFE hemochromatosis. The prevalence of type 2 diabetes diagnosed today in whites of European descent with and without HFE hemochromatosis is similar. Routine iron phenotyping or HFE genotyping of patients with type 2 diabetes is not recommended. Herein, we review diabetes in HFE hemochromatosis and the role of iron in diabetes pathogenesis in whites of European descent with and without HFE hemochromatosis.
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Affiliation(s)
- James C. Barton
- Southern Iron Disorders Center, Birmingham, AL 35209, USA
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Ronald T. Acton
- Southern Iron Disorders Center, Birmingham, AL 35209, USA
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
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26
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Iron Profile and Glycaemic Control in Patients with Type 2 Diabetes Mellitus. Med Sci (Basel) 2016; 4:medsci4040022. [PMID: 29083385 PMCID: PMC5635795 DOI: 10.3390/medsci4040022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 12/01/2016] [Accepted: 12/05/2016] [Indexed: 12/31/2022] Open
Abstract
Iron overload is increasingly being connected to insulin resistance in Type 2 Diabetes Mellitus (T2DM) patients. Free iron causes the assembly of reactive oxygen species that invariably steer the body’s homeostasis towards oxidative stress-mediated diabetic complications. This study aims to assess the serum iron, total iron binding capacity (TIBC), and percentage transferrin saturation (Tsat) of 150 subjects divided into three groups (I,II,III) of 50. Healthy individuals (controls) constituted Group I. Group II consisted of T2DM patients with optimal glycaemic control. T2DM patients with suboptimal glycaemic control formed group III. Mean serum free iron concentration was 105.34 ± 3.5, 107.33 ± 3.45, and 125.58 ± 3.45 μg/dL in Group I, Group II, and Group III, respectively. Mean serum TIBC concentration in Group I, Group II, and Group III was 311.39 ± 5.47, 309.63 ± 6.1, and 284.2 ± 3.18μg/dL, respectively. Mean serum transferrin saturation (%) in Group I, Group II, and Group III was 34.17 ± 1.21, 35.02 ± 1.2, and 44.39 ± 1.07, respectively. The difference between TIBC, mean serum free iron concentration, and transferrin saturation between Group I and Group III (for all, p values <0.001), as well as between Group II and Group III (p values 0.0012, 0.0015, and <0.0001, respectively) was statistically significant. The fasting plasma glucose values of Groups II and III were significantly higher than those of Group I, (p < 0.0001). Glycated haemoglobin (HbA1c) values were also shown to increase from Group I to II and then III, and the increase was highly significant (all p values <0.0001). Thus, decreased glycaemic control and an increase in the glycation of haemoglobin was the key to elevation in serum iron values and alterations in other parameters. However, a significant correlation was absent between serum iron and HbA1c (r = 0.05) and transferrin saturation (r = 0.0496) in Group III.
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Jaruvongvanich V, Riangwiwat T, Sanguankeo A, Upala S. Outcome of phlebotomy for treating nonalcoholic fatty liver disease: A systematic review and meta-analysis. Saudi J Gastroenterol 2016; 22:407-414. [PMID: 27976635 PMCID: PMC5184740 DOI: 10.4103/1319-3767.195551] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND/AIMS No medications have been approved for managing nonalcoholic fatty liver disease (NAFLD). Lifestyle intervention is the mainstay for its treatment. Hyperferritinemia, which appears to be associated with the severity of liver injury and insulin resistance, is frequently observed in patients with NAFLD. PATIENTS AND METHODS We conducted a systematic review and meta-analysis of the outcomes of four interventional trials regarding the effect of phlebotomy in patients with NAFLD versus the outcomes of NAFLD patients who did not undergo phlebotomy. Primary outcome was the pooled mean difference (MD) of the homeostasis model assessment of insulin resistance (HOMA-IR). The secondary outcomes were the changes in liver enzymes and the lipid profile. RESULTS Four interventional studies involving 438 participants were included in the meta-analysis. HOMA-IR was lower in patients who underwent phlebotomy, with an MD of 0.84 [95% confidence interval (CI) 0.01 to 1.67, I2 = 72%]. Phlebotomy also significantly reduced the alanine aminotransferase (MD = 10.05, 95% CI 7.19-12.92, I2 = 34%) and triglyceride (MD = 9.89, 95% CI 4.96-14.83, I2 = 22%) levels and increased the high-density cholesterol level (MD = 3.48, 95% CI 2.03-4.92, I2 = 18%). CONCLUSION Phlebotomy decreased insulin resistance and liver transaminase levels in patients with NAFLD. In addition, it improved their lipid profile.
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Affiliation(s)
- Veeravich Jaruvongvanich
- Department of Internal Medicine, University of Hawaii, Honolulu, HI, USA,Department of Internal Medicine, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Tanawan Riangwiwat
- Department of Internal Medicine, University of Hawaii, Honolulu, HI, USA
| | - Anawin Sanguankeo
- Department of Internal Medicine, Bassett Medical Center and Columbia University College of Physicians and Surgeons, Cooperstown, NY, USA,Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sikarin Upala
- Department of Internal Medicine, Bassett Medical Center and Columbia University College of Physicians and Surgeons, Cooperstown, NY, USA,Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand,Address for correspondence: Dr. Sikarin Upala, Bassett Medical Center, 1 Atwell Road, Cooperstown, NY, USA 13326. E-mail:
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28
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Shimodaira M, Okaniwa S, Nakayama T. Investigation of the relationship between hemoglobin and serum iron levels and early-phase insulin secretion in non-diabetic subjects. Acta Diabetol 2016; 53:783-9. [PMID: 27311688 DOI: 10.1007/s00592-016-0873-x] [Citation(s) in RCA: 6] [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: 04/18/2016] [Accepted: 05/30/2016] [Indexed: 12/17/2022]
Abstract
AIMS Recent biological and epidemiological studies have found that insulin resistance is linked to iron overload. However, little is known about the association between hemoglobin and/or serum iron levels and pancreatic β-cell function. In this gender-separated cross-sectional study, we aimed to investigate the association of hemoglobin and serum iron levels with early-phase insulin secretion in non-diabetic subjects. METHODS A total of 804 non-diabetic Japanese subjects (482 males and 322 females) aged over 30 years old were enrolled in the study. Early-phase insulin secretion was estimated using the insulinogenic index (IGI [ΔInsulin(30-0 min)/ΔGlucose(30-0 min)]) during a 75-g oral glucose tolerance test. RESULTS Simple linear regression analysis showed that IGI negatively correlated with hemoglobin levels in male but not in female subjects. However, IGI did not correlate with serum iron levels in either gender. Multivariate linear regression analysis in male subjects revealed that hemoglobin levels were predictors of IGI, responsible for 3.0 % of IGI variation (P = 0.008). The association was independent of age, BMI, fasting glucose and insulin levels, and lipid profiles. In non-diabetic Japanese males, hemoglobin levels significantly and negatively correlated with early-phase insulin secretion. CONCLUSIONS Our finding suggests that elevated hemoglobin levels may have a gender-specific impact on β-cell function and could be an independent predictor of β-cell dysfunction.
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Affiliation(s)
- Masanori Shimodaira
- Department of Internal Medicine, Iida Municipal Hospital, 438 Yawata-machi, Iida, Nagano, 395-8502, Japan.
- Division of Companion Diagnostics, Department of Pathology of Microbiology, Nihon University School of Medicine, 30-1 Ooyaguchi-kamimachi, Itabashi-ku, Tokyo, 173-8610, Japan.
| | - Shinji Okaniwa
- Department of Internal Medicine, Iida Municipal Hospital, 438 Yawata-machi, Iida, Nagano, 395-8502, Japan
| | - Tomohiro Nakayama
- Division of Companion Diagnostics, Department of Pathology of Microbiology, Nihon University School of Medicine, 30-1 Ooyaguchi-kamimachi, Itabashi-ku, Tokyo, 173-8610, Japan
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29
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Kim MK, Chon SJ, Jung YS, Kim BO, Noe EB, Yun BH, Cho S, Choi YS, Lee BS, Seo SK. The Relationship between Serum Ferritin Levels and Insulin Resistance in Pre- and Postmenopausal Korean Women: KNHANES 2007-2010. PLoS One 2016; 11:e0157934. [PMID: 27337113 PMCID: PMC4919039 DOI: 10.1371/journal.pone.0157934] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Accepted: 06/07/2016] [Indexed: 01/25/2023] Open
Abstract
Background Serum ferritin levels increase in postmenopausal women, and they are reported to be linked to major health problems. Here, we investigated the association between serum ferritin levels and insulin resistance (IR) in postmenopausal women. Methods A total of 6632 healthy Korean women (4357 premenopausal and 2275 postmenopausal) who participated in the Korean National Health and Nutrition Examination Survey (KNHANES) in 2007–2010 were enrolled in the study. Serum ferritin values were divided into six groups for the premenopausal and postmenopausal groups. IR and obesity indices were evaluated according to the six serum ferritin groups. Statistical analysis was carried out using SAS software, version 9.2 (SAS Institute Inc., Cary, NC, USA). Results The association between the IR indices and ferritin groups had a higher level of statistical significance in the postmenopausal group than in the premenopausal group. In addition, for the postmenopausal group, the estimates increased significantly in the sixth ferritin group compared to those in the first ferritin group. However, the association between the obesity indices and ferritin levels was not significantly different between the premenopausal and postmenopausal groups. Conclusion Elevated serum ferritin levels were associated with an increased risk of insulin resistance in postmenopausal women.
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Affiliation(s)
- Min Kyoung Kim
- Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Joo Chon
- Department of Obstetrics and Gynecology, Gil Hospital, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Yeon Soo Jung
- Department of Obstetrics and Gynecology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Bo Ok Kim
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Bee Noe
- Seoul Rachel Fertility Center, Seoul, Republic of Korea
| | - Bo Hyon Yun
- Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - SiHyun Cho
- Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Sik Choi
- Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byung Seok Lee
- Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seok Kyo Seo
- Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
- * E-mail:
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30
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Impaired HDL cholesterol efflux in metabolic syndrome is unrelated to glucose tolerance status: the CODAM study. Sci Rep 2016; 6:27367. [PMID: 27270665 PMCID: PMC4897620 DOI: 10.1038/srep27367] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 05/13/2016] [Indexed: 12/27/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) increase atherosclerotic cardiovascular disease risk. Cholesterol efflux capacity (CEC) is a key metric of the anti-atherosclerotic functionality of high-density lipoproteins (HDL). The present study aimed to delineate if T2DM and MetS cross-sectionally associate with altered CEC in a large high cardiometabolic risk population. CEC was determined from THP-1 macrophage foam cells towards apolipoprotein B-depleted plasma from 552 subjects of the CODAM cohort (288 controls, 126 impaired glucose metabolism [IGM], 138 T2DM). MetS was present in 297 participants. CEC was not different between different glucose tolerance categories but was lower in MetS (P < 0.001), at least partly attributable to lower HDL cholesterol (HDL-C) and apoA-I levels (P < 0.001 for each). Low grade inflammation was increased in IGM, T2DM and MetS as determined by a score comprising 8 different biomarkers (P < 0.05-< 0.001; n = 547). CEC inversely associated with low-grade inflammation taking account of HDL-C or apoA-I in MetS (P < 0.02), but not in subjects without MetS (interaction: P = 0.015). This study demonstrates that IGM and T2DM do not impact the HDL CEC function, while efflux is lower in MetS, partly dependent on plasma HDL-C levels. Enhanced low-grade inflammation in MetS may conceivably impair CEC even independent of HDL-C and apoA-I.
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31
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Podmore C, Meidtner K, Schulze MB, Scott RA, Ramond A, Butterworth AS, Di Angelantonio E, Danesh J, Arriola L, Barricarte A, Boeing H, Clavel-Chapelon F, Cross AJ, Dahm CC, Fagherazzi G, Franks PW, Gavrila D, Grioni S, Gunter MJ, Gusto G, Jakszyn P, Katzke V, Key TJ, Kühn T, Mattiello A, Nilsson PM, Olsen A, Overvad K, Palli D, Quirós JR, Rolandsson O, Sacerdote C, Sánchez-Cantalejo E, Slimani N, Sluijs I, Spijkerman AMW, Tjonneland A, Tumino R, van der A DL, van der Schouw YT, Feskens EJM, Forouhi NG, Sharp SJ, Riboli E, Langenberg C, Wareham NJ. Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes: The EPIC-InterAct Study. Diabetes Care 2016; 39:572-81. [PMID: 26861925 PMCID: PMC5058436 DOI: 10.2337/dc15-0257] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 01/10/2016] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Observational studies show an association between ferritin and type 2 diabetes (T2D), suggesting a role of high iron stores in T2D development. However, ferritin is influenced by factors other than iron stores, which is less the case for other biomarkers of iron metabolism. We investigated associations of ferritin, transferrin saturation (TSAT), serum iron, and transferrin with T2D incidence to clarify the role of iron in the pathogenesis of T2D. RESEARCH DESIGN AND METHODS The European Prospective Investigation into Cancer and Nutrition-InterAct study includes 12,403 incident T2D cases and a representative subcohort of 16,154 individuals from a European cohort with 3.99 million person-years of follow-up. We studied the prospective association of ferritin, TSAT, serum iron, and transferrin with incident T2D in 11,052 cases and a random subcohort of 15,182 individuals and assessed whether these associations differed by subgroups of the population. RESULTS Higher levels of ferritin and transferrin were associated with a higher risk of T2D (hazard ratio [HR] [95% CI] in men and women, respectively: 1.07 [1.01-1.12] and 1.12 [1.05-1.19] per 100 μg/L higher ferritin level; 1.11 [1.00-1.24] and 1.22 [1.12-1.33] per 0.5 g/L higher transferrin level) after adjustment for age, center, BMI, physical activity, smoking status, education, hs-CRP, alanine aminotransferase, and γ-glutamyl transferase. Elevated TSAT (≥45% vs. <45%) was associated with a lower risk of T2D in women (0.68 [0.54-0.86]) but was not statistically significantly associated in men (0.90 [0.75-1.08]). Serum iron was not associated with T2D. The association of ferritin with T2D was stronger among leaner individuals (Pinteraction < 0.01). CONCLUSIONS The pattern of association of TSAT and transferrin with T2D suggests that the underlying relationship between iron stores and T2D is more complex than the simple link suggested by the association of ferritin with T2D.
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Affiliation(s)
- Clara Podmore
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Anna Ramond
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Adam S Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | | | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain Instituto BIO-Donostia, Basque Government, San Sebastian, Spain Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain
| | - Aurelio Barricarte
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain Navarre Public Health Institute, Pamplona, Navarra, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Françoise Clavel-Chapelon
- INSERM, CESP Centre for Research in Epidemiology and Population Health, Villejuif, France University Paris-Sud, Villejuif, France
| | - Amanda J Cross
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Christina C Dahm
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Guy Fagherazzi
- INSERM, CESP Centre for Research in Epidemiology and Population Health, Villejuif, France University Paris-Sud, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Diana Gavrila
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain
| | - Sara Grioni
- Fondazione IRCCS Istituto Nazionale dei Tumori Milan, Milan, Italy
| | - Marc J Gunter
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Gaelle Gusto
- INSERM, CESP Centre for Research in Epidemiology and Population Health, Villejuif, France University Paris-Sud, Villejuif, France
| | - Paula Jakszyn
- Nutrition, Environment and Cancer Unit, Department of Epidemiology, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Amalia Mattiello
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Peter M Nilsson
- Department of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy
| | - J Ramón Quirós
- Consejería de Sanidad, Public Health Directorate, Oviedo-Asturias, Spain
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, AO Citta' della Salute e della Scienza Hospital-University of Turin and Center for Cancer Prevention (CPO), Turin, Italy Human Genetics Foundation (HuGeF), Turin, Italy
| | - Emilio Sánchez-Cantalejo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Nadia Slimani
- International Agency for Research on Cancer, Dietary Exposure Assessment Group (DEX), Lyon, France
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | | | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civile - M.P. Arezzo" Hospital, Ragusa, Italy Associazone Iblea per la Ricerca Epidemiologica - Onlus, Ragusa, Italy
| | - Daphne L van der A
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition, Section of Nutrition and Epidemiology, Wageningen University, Wageningen, the Netherlands
| | - Nita G Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Stephen J Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Elio Riboli
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, U.K
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Bao W, Chavarro JE, Tobias DK, Bowers K, Li S, Hu FB, Zhang C. Long-term risk of type 2 diabetes in relation to habitual iron intake in women with a history of gestational diabetes: a prospective cohort study. Am J Clin Nutr 2016; 103:375-81. [PMID: 26762369 PMCID: PMC4733253 DOI: 10.3945/ajcn.115.108712] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 11/10/2015] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND An iron overload may induce pancreatic islet damage and increase risk of diabetes. Women with a history of gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes mellitus (T2DM) after pregnancy. OBJECTIVE We aimed to examine the association of habitual iron intake with long-term risk of T2DM in this high-risk population. DESIGN We included 3976 women with a history of GDM from the Nurses' Health Study II cohort as part of the ongoing Diabetes & Women's Health Study. The women were followed up through 2009. Iron intake was assessed with the use of a validated food-frequency questionnaire in 1991 and every 4 y thereafter. We used Cox proportional hazards models to estimate HRs and 95% CIs. RESULTS We documented 641 incident T2DM cases during 57,683 person-years of observation. Adjusted HRs for T2DM for the highest quartile compared with the lowest quartile were 1.64 (95% CI: 1.20, 2.25; P-trend = 0.02) for total iron intake and 1.80 (95% CI: 1.18, 2.74; P-trend = 0.005) for dietary heme iron intake. In addition, women who consumed ≥30.0 mg supplemental Fe/d, compared with nonusers, had an adjusted HR of 1.83 (95% CI: 1.25, 2.70; P-trend = 0.002). CONCLUSION In women with a history of GDM, greater intakes of total iron, dietary heme iron, and supplemental iron were associated with higher risk of T2DM.
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Affiliation(s)
- Wei Bao
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD
| | - Jorge E Chavarro
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, and
| | - Deirdre K Tobias
- Epidemiology, Harvard School of Public Health, Boston, MA; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and
| | - Katherine Bowers
- Division of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Shanshan Li
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD
| | - Frank B Hu
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, and
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD;
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Schreinemachers DM, Ghio AJ. Effects of Environmental Pollutants on Cellular Iron Homeostasis and Ultimate Links to Human Disease. ENVIRONMENTAL HEALTH INSIGHTS 2016; 10:35-43. [PMID: 26966372 PMCID: PMC4782969 DOI: 10.4137/ehi.s36225] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 05/04/2023]
Abstract
Chronic disease has increased in the past several decades, and environmental pollutants have been implicated. The magnitude and variety of diseases may indicate the malfunctioning of some basic mechanisms underlying human health. Environmental pollutants demonstrate a capability to complex iron through electronegative functional groups containing oxygen, nitrogen, or sulfur. Cellular exposure to the chemical or its metabolite may cause a loss of requisite functional iron from intracellular sites. The cell is compelled to acquire further iron critical to its survival by activation of iron-responsive proteins and increasing iron import. Iron homeostasis in the exposed cells is altered due to a new equilibrium being established between iron-requiring cells and the inappropriate chelator (the pollutant or its catabolite). Following exposure to environmental pollutants, the perturbation of functional iron homeostasis may be the mechanism leading to adverse biological effects. Understanding the mechanism may lead to intervention methods for this major public health concern.
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Huth C, Beuerle S, Zierer A, Heier M, Herder C, Kaiser T, Koenig W, Kronenberg F, Oexle K, Rathmann W, Roden M, Schwab S, Seissler J, Stöckl D, Meisinger C, Peters A, Thorand B. Biomarkers of iron metabolism are independently associated with impaired glucose metabolism and type 2 diabetes: the KORA F4 study. Eur J Endocrinol 2015; 173:643-53. [PMID: 26294793 DOI: 10.1530/eje-15-0631] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 08/20/2015] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Iron has been suggested to play a role in the etiology of type 2 diabetes mellitus (T2DM). Except for ferritin, evidence is sparse for other markers of iron metabolism that are regulated differently and might act through independent pathways. We therefore investigated the associations of serum ferritin, transferrin, soluble transferrin receptor (sTfR), transferrin saturation (TSAT), sTfR-to-log10ferritin (sTfR-F) index, and iron with impaired glucose metabolism (IGM/'prediabetes'), T2DM, and four continuous glucose and insulin traits. DESIGN AND METHODS Data from 2893 participants of the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study (Germany) was investigated through regression analysis. The results were adjusted for socio-demographic, life-style, and obesity measures as well as metabolic, inflammatory, and other iron biomarkers following a step-wise approach. Non-linearity was tested by adding a non-linear spline component to the model. RESULTS Ferritin and transferrin were positively associated with IGM (fourth vs first sex-specific quartile: ferritin odds ratio (OR)=2.08 (95% CI 1.43-3.04) and transferrin OR=1.89 (95% CI 1.32-2.70)), T2DM (ferritin OR=1.98 (95% CI 1.22-3.22) and transferrin OR=2.42 (95% CI 1.54-3.81)), and fasting as well as 2-h glucose. TSAT (OR=0.55 (95% CI 0.34-0.88)) and iron (OR=0.61 (95% CI 0.38-0.97)) were inversely associated with T2DM, sTfR-F-index was inversely associated with IGM (OR=0.67 (95% CI 0.48-0.95)). There was no strong evidence for non-linear relationships. CONCLUSIONS The observed associations of several markers of iron metabolism with hyperglycemia and insulin resistance suggest that iron stores as well as iron-related metabolic pathways contribute to the pathogenesis of IGM and T2DM. Moreover, TSAT levels are decreased in T2DM patients.
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Affiliation(s)
- Cornelia Huth
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Simon Beuerle
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Astrid Zierer
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Margit Heier
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Christian Herder
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Thorsten Kaiser
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Wolfgang Koenig
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Florian Kronenberg
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Konrad Oexle
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Wolfgang Rathmann
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Michael Roden
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Sigrid Schwab
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany
| | - Jochen Seissler
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Doris Stöckl
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Christa Meisinger
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Annette Peters
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
| | - Barbara Thorand
- Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyGerman Center for Diabetes Research (DZD)Partner Düsseldorf, GermanyInstitute of Laboratory MedicineClinical Chemistry and Molecular Diagnostics, University Leipzig, Leipzig, GermanyDepartment of Internal Medicine II - CardiologyUniversity of Ulm Medical Center, Ulm, GermanyDivision of Genetic EpidemiologyDepartment of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, AustriaInstitute of Human GeneticsKlinikum Rechts der Isar, Technische Universität München, Munich, GermanyInstitute of Biometrics and EpidemiologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyDepartment of Endocrinology and DiabetologyMedical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyMedizinische Klinik und Poliklinik IVDiabetes Zentrum - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität, München, GermanyClinical Cooperation Group DiabetesLudwig-Maximilians-Universität München and Helmholtz Zentrum München, München, Germany Institute of Epidemiology IIHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, D-85764 Neuherberg, GermanyGerman Center for Diabetes Research (DZD)Partner Neuherberg, GermanyMONICA/KORA Myocardial Infarction RegistryCentral Hospital of Augsburg, Augsburg, GermanyInstitute for Clinical DiabetologyGerman Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University
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Westerink J, Visseren FLJ. The relation between body iron stores and adipose tissue function in patients with manifest vascular disease. Eur J Clin Invest 2015; 45:1127. [PMID: 26186411 DOI: 10.1111/eci.12499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 07/10/2015] [Indexed: 11/27/2022]
Affiliation(s)
- Jan Westerink
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
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Abbate R, Al-Daghri NM, Andreozzi P, Borregaard N, Can G, Caridi G, Carstensen-Kirberg M, Cioni G, Conte E, Cuomo R, Denis MA, Fakhfouri G, Fakhfouri G, Fiasse R, Glenthøj A, Goliasc G, Gremmel T, Herder C, Iemmolo M, Jing ZC, Krause R, Marrone O, Miazgowski B, Miazgowski T, Minchiotti L, Mousavizadeh K, Ndrepepa G, Niessner A, Ogayar Luque C, Onat A, Papassotiriou I, Ruiz Ortiz M, Sabico S, Schooling CM, Sakka SD, Sołtysiak P, Visseren FLJ, Wagner J, Wang XJ, Westerink J. Research update for articles published in EJCI in 2013. Eur J Clin Invest 2015; 45:1005-16. [PMID: 26394055 DOI: 10.1111/eci.12512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 08/04/2015] [Indexed: 01/14/2023]
Affiliation(s)
- Rosanna Abbate
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Nasser M Al-Daghri
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Paolo Andreozzi
- Department of Clinical Medicine and Surgery, 'Federico II' University, Naples, Italy
| | - Niels Borregaard
- The Granulocyte Research Laboratory, Department of Hematology, National University Hospital, Copenhagen, Denmark
| | - Günay Can
- Departments of Cardiology and Public Health, Cerrahpaşa Medical Faculty, University of Istanbul, Istanbul, Turkey
| | - Gianluca Caridi
- Laboratory on Pathophysiology of Uremia, Istituto Giannina Gaslini IRCCS, Genoa, Italy
| | - Maren Carstensen-Kirberg
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Center for Diabetes Research (DZD e.V.), Partner Düsseldorf, Düsseldorf, Germany
| | - Gabriele Cioni
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Enrico Conte
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Rosario Cuomo
- Department of Clinical Medicine and Surgery, 'Federico II' University, Naples, Italy
| | - Marie A Denis
- Department of Gastroenterology, St. Luc University Hospital, Brussels, Belgium
| | - Gohar Fakhfouri
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Laval University, Québec City, QC, Canada
| | - G Fakhfouri
- Institut Universitaire en Santé Mentale de Québec, Québec City, QC, Canada
| | - Renné Fiasse
- Department of Gastroenterology, St. Luc University Hospital, Brussels, Belgium
| | - Andreas Glenthøj
- The Granulocyte Research Laboratory, Department of Hematology, National University Hospital, Copenhagen, Denmark
| | - Georg Goliasc
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Thomas Gremmel
- Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.,Center for Platelet Research Studies, Division of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - 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 (DZD e.V.), Partner Düsseldorf, Düsseldorf, Germany
| | - Maria Iemmolo
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Zhi-Cheng Jing
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Robert Krause
- Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Oreste Marrone
- Institute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy
| | - Bartosz Miazgowski
- Department of Hypertension and Internal Medicine, Pomeranian Medical University, Szczecin, Poland
| | - Tomasz Miazgowski
- Department of Hypertension and Internal Medicine, Pomeranian Medical University, Szczecin, Poland
| | | | - Kazem Mousavizadeh
- Cellular and Molecular Research Center and Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | | | - Alexander Niessner
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | | | - Altan Onat
- Departments of Cardiology and Public Health, Cerrahpaşa Medical Faculty, University of Istanbul, Istanbul, Turkey
| | - Ioannis Papassotiriou
- Department of Clinical Biochemistry, "Aghia Sophia" Children's Hospital, Athens, Greece
| | - Martín Ruiz Ortiz
- Cardiology Department, Reina Sofía University Hospital, Córdoba, Spain
| | - Shaun Sabico
- Biomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - C Mary Schooling
- CUNY School of Public Health and Hunter College, New York, NY, USA
| | - Sophia D Sakka
- Department of Endocrinology and Diabetes, Birmingham Children's Hospital, Birmingham, UK
| | - P Sołtysiak
- Department of Hypertension and Internal Medicine, Pomeranian Medical University, Szczecin, Poland
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jasmin Wagner
- Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Xiao-Jian Wang
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jan Westerink
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
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Hubler MJ, Peterson KR, Hasty AH. Iron homeostasis: a new job for macrophages in adipose tissue? Trends Endocrinol Metab 2015; 26:101-9. [PMID: 25600948 PMCID: PMC4315734 DOI: 10.1016/j.tem.2014.12.005] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/09/2014] [Accepted: 12/16/2014] [Indexed: 12/29/2022]
Abstract
Elevated serum ferritin and increased cellular iron concentrations are risk factors for diabetes; however, the etiology of this association is unclear. Metabolic tissues such as pancreas, liver, and adipose tissue (AT), as well as the immune cells resident in these tissues, may be involved. Recent studies demonstrate that the polarization status of macrophages has important relevance to their iron-handling capabilities. Furthermore, a subset of macrophages in AT have elevated iron concentrations and a gene expression profile indicative of iron handling, a capacity diminished in obesity. Because iron overload in adipocytes increases systemic insulin resistance, iron handling by AT macrophages may have relevance not only to adipocyte iron stores but also to local and systemic insulin sensitivity.
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Affiliation(s)
- Merla J Hubler
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Kristin R Peterson
- Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Alyssa H Hasty
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA.
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