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Alqahtani SAM, Alsaleem MA, Ghazy RM. Association between serum ferritin level and lipid profile among diabetic patients: A retrospective cohort study. Medicine (Baltimore) 2024; 103:e37631. [PMID: 38552070 PMCID: PMC10977537 DOI: 10.1097/md.0000000000037631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/26/2024] [Indexed: 04/02/2024] Open
Abstract
High serum ferritin (SF) levels have been linked to obesity, metabolic syndrome, atherosclerosis, diabetes, dyslipidemia, and cancer. This study aimed to investigate the association between SF and dyslipidemia in adults diagnosed with diabetes mellitus. This cross-sectional study retrospectively analyzed the electronic medical records of eligible patients from 3 primary locations in Saudi Arabia namely - Abha, Khamis Mushyt, and Jeddah - from 2010 to 2020. The study included adult patients aged 18 years or older who were diagnosed with diabetes mellitus and identified with an HbA1c level of ≥6.5. This study involved 3674 participants, with males accounting for 26.6% of the total. The mean age of the studied population was 48.0 ± 18.4 years. The median [interquartile range] of SF among males was higher than females, however, this difference was not statistically significant (60.0 [23.4-125.8] vs 55.4 [24.0-113.4], P = 0.204). On the other hand, age and region were significantly associated with SF (P = .032 and 0.035). SF had a significant positive correlation with cholesterol (r = 0.081, P < .001), low-density lipoprotein cholesterol (r = .087, P < .001), and triglycerides (r = 0.068, P < .001) and negative correlation with high-density lipoprotein cholesterol (r = -0.13, P < .001). Multivariate analysis revealed that age, sex, residence, and HbA1c were significantly affecting the lipid profile. Clinicians should consider including SF testing as part of the comprehensive evaluation of patients with diabetes and dyslipidemia.
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Affiliation(s)
- Saif Aboud M Alqahtani
- Internal Medicine Department, College of Medicine, King Khalid University, Abha, Saudia Arabia
| | - Mohammed Abadi Alsaleem
- Department of Family and Community Medicine, College of Medicine, King Khalid University, Abha, Saudia Arabia
| | - Ramy Mohamed Ghazy
- Department of Family and Community Medicine, College of Medicine, King Khalid University, Abha, Saudia Arabia
- Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt
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2
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Arumugam S, Suyambulingam A. Association Between Serum Ferritin and the Duration of Type 2 Diabetes Mellitus in a Tertiary Care Hospital in Chennai. Cureus 2024; 16:e53117. [PMID: 38420099 PMCID: PMC10900170 DOI: 10.7759/cureus.53117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 01/28/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Hyperinsulinemia has been linked to increased ferritin production and iron absorption in type 2 diabetes mellitus, ultimately leading to increased iron storage. Glucose intolerance is intimately linked to this issue. Increased oxidative stress from iron decreases insulin's ability to be taken into cells and used for energy. Researchers suggest that increased iron levels in the body play a role in the emergence of insulin resistance, glucose intolerance, and vascular repercussions associated with diabetes. OBJECTIVE The aim of this study is to assess the levels of serum ferritin and fasting plasma glucose in both diabetic and nondiabetic individuals while establishing a relationship between the two. Exploring the connection between serum ferritin levels and the duration of diabetes mellitus in individuals diagnosed with diabetes is our objective. METHODOLOGY In this study, 80 men diagnosed with type 2 diabetes mellitus were included, and they were compared with 70 male volunteers who were in good health. We took blood samples while the subjects fasted, and we analyzed the plasma glucose and serum ferritin levels. RESULTS In the diabetic group, there were notably higher levels of serum ferritin and fasting plasma glucose compared to the nondiabetic subjects. Furthermore, a correlation was observed between the duration of diabetes among participants with diabetes and elevated serum ferritin levels. CONCLUSION The findings suggest that low-grade inflammation and increased body iron stores are positively related to hyperglycemia in type 2 diabetes mellitus.
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Affiliation(s)
- Sankar Arumugam
- General Medicine, Sree Balaji Medical College and Hospital, Chennai, IND
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3
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Seifen C, Pordzik J, Huppertz T, Hackenberg B, Schupp C, Matthias C, Simon P, Gouveris H. Serum Ferritin Levels in Severe Obstructive Sleep Apnea. Diagnostics (Basel) 2023; 13:diagnostics13061154. [PMID: 36980461 PMCID: PMC10047524 DOI: 10.3390/diagnostics13061154] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/22/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Obstructive sleep apnea (OSA) has been associated with various acute and chronic inflammatory diseases, as has serum ferritin, an intracellular iron storage protein. Little is known about the relationship between severity of OSA and serum ferritin levels in otherwise healthy subjects. In this study, all polysomnographic recordings, serum levels of ferritin, C-reactive protein (CRP), and hemoglobin, as well as patient files from 90 consecutive, otherwise healthy individuals with suspected OSA who presented to a tertiary sleep medical center were retrospectively analyzed. For comparison, three groups were formed based on apnea-hypopnea index (AHI; none or mild OSA: <15/h vs. moderate OSA: 15-30/h vs. severe OSA: >30/h). Serum ferritin levels were significantly positively correlated with AHI (r = 0.3240, p = 0.0020). A clear trend of higher serum ferritin levels was found when patients with severe OSA were compared to those without or with mild OSA. Serum CRP and serum hemoglobin levels did not differ significantly among OSA severity groups. Age and body-mass index (BMI) tended to be higher with increasing OSA severity. The BMI was significant higher in patients with severe OSA compared to those without or with mild (p < 0.001). Therefore, serum ferritin levels may provide a biochemical surrogate marker for OSA severity.
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Affiliation(s)
- Christopher Seifen
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Johannes Pordzik
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Tilman Huppertz
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Berit Hackenberg
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Cornelia Schupp
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Christoph Matthias
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
| | - Perikles Simon
- Department of Sports Medicine, Disease Prevention and Rehabilitation, Johannes Gutenberg University, 55099 Mainz, Germany
| | - Haralampos Gouveris
- Sleep Medicine Center, Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, 55131 Mainz, Germany
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4
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Wang X, Fang X, Zheng W, Zhou J, Song Z, Xu M, Min J, Wang F. Genetic Support of A Causal Relationship Between Iron Status and Type 2 Diabetes: A Mendelian Randomization Study. J Clin Endocrinol Metab 2021; 106:e4641-e4651. [PMID: 34147035 PMCID: PMC8530720 DOI: 10.1210/clinem/dgab454] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Indexed: 12/15/2022]
Abstract
CONTEXT Iron overload is a known risk factor for type 2 diabetes (T2D); however, iron overload and iron deficiency have both been associated with metabolic disorders in observational studies. OBJECTIVE Using mendelian randomization (MR), we assessed how genetically predicted systemic iron status affected T2D risk. METHODS A 2-sample MR analysis was used to obtain a causal estimate. We selected genetic variants strongly associated (P < 5 × 10-8) with 4 biomarkers of systemic iron status from a study involving 48 972 individuals performed by the Genetics of Iron Status consortium and applied these biomarkers to the T2D case-control study (74 124 cases and 824 006 controls) performed by the Diabetes Genetics Replication and Meta-analysis consortium. The simple median, weighted median, MR-Egger, MR analysis using mixture-model, weighted allele scores, and MR based on a Bayesian model averaging approaches were used for the sensitivity analysis. RESULTS Genetically instrumented serum iron (odds ratio [OR]: 1.07; 95% CI, 1.02-1.12), ferritin (OR: 1.19; 95% CI, 1.08-1.32), and transferrin saturation (OR: 1.06; 95% CI, 1.02-1.09) were positively associated with T2D. In contrast, genetically instrumented transferrin, a marker of reduced iron status, was inversely associated with T2D (OR: 0.91; 95% CI, 0.87-0.96). CONCLUSION Genetic evidence supports a causal link between increased systemic iron status and increased T2D risk. Further studies involving various ethnic backgrounds based on individual-level data and studies regarding the underlying mechanism are warranted for reducing the risk of T2D.
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Affiliation(s)
- Xinhui Wang
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xuexian Fang
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Wanru Zheng
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiahui Zhou
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zijun Song
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingqing Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Junxia Min
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Fudi Wang
- The Fourth Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China
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5
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Durrani L, Ejaz S, Tavares LB, Mohyeldin M, Abureesh D, Boorenie M, Khan S. Correlation Between High Serum Ferritin Level and Gestational Diabetes: A Systematic Review. Cureus 2021; 13:e18990. [PMID: 34722008 PMCID: PMC8545518 DOI: 10.7759/cureus.18990] [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: 09/18/2021] [Accepted: 10/23/2021] [Indexed: 11/05/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a growing pregnancy-related health problem all over the world. It has been noticed that women with high serum ferritin levels have a strong relationship with GDM by increased insulin resistance and increased insulin secretion from the pancreas resulting in pancreatic beta-cell exhaustion. Heme iron is also responsible for increasing the body's iron store and hence causing oxidative injury to pancreatic cells. In this systematic review, we researched the association between high serum ferritin levels and GDM. Three databases were consulted for articles related to GDM and high ferritin. These include Medical Literature Analysis and Retrieval System Online (MEDLINE), PubMed, and PubMed Central (PMC). Additional articles were retrieved from the institutional database. After filtering, 10 articles were finally selected, and quality was checked using the Joanna Briggs Institute (JBI) Critical Appraisal quality check tool. Serum iron biomarkers including ferritin, iron, and soluble transferrin receptor (sTfR) were measured. Our systematic review indicates that high maternal serum ferritin has a significant role in the development of GDM. We have also noticed the importance of sTfR and serum hepcidin as biomarkers to monitor high ferritin levels. Our study also observed a positive relationship between high heme iron intake and gestational diabetes mellitus. Therefore, more research is required to understand this relationship to identify populations at risk.
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Affiliation(s)
- Lubna Durrani
- Obstetrics and Gynecology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Saman Ejaz
- Obstetrics and Gynecology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Lorena B Tavares
- Bioethics, Columbia University, New York, USA
- Internal Medicine/Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Moiud Mohyeldin
- Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Deya Abureesh
- Neurosurgery/Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Mustafa Boorenie
- Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Safeera Khan
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
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6
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Elayaperumal M, Vedachalam Y, Loganathan D, Kumaravelu TA, Anusuya GS, Kennedy J. Ion Beam Analysis of Proton-Induced X-ray Emission (PIXE) Techniques for Elemental Investigation of Young Stage Neem Leaf of Southern India, Tamil Nadu. Biol Trace Elem Res 2021; 199:3540-3546. [PMID: 33113117 DOI: 10.1007/s12011-020-02443-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/18/2020] [Indexed: 10/23/2022]
Abstract
Young stage neem leaf (Azadirachta indica) was collected at Thiruvallur district in Tamil Nadu, South India. Multi-elemental analysis of neem leaf was carried out using non-destructive techniques (NDT) of proton-induced X-ray emission (PIXE, 2.5 MeV) which is one of the well-known surface chemical sophisticated analytical methods of ion beam analyses (IBA). From the emitted X-ray output of the target specimen specimen fingerprint multi-elements such as, aluminium (Al), silicon (Si), phosphorus (P), sulphur (S), chloride (Cl), potassium (K), calcium (Ca), titanium (Ti), manganese (Mn), iron (Fe), copper (Cu), zinc (Zn) and strontium (Sr) are found to be present in the leaf in different ppm levels. Among the elements, silicon (Si, 42034 + 1198.0 ppm) and potassium (K, 28985 + 747.8 ppm) showed the highest concentration. Minor elements (Mn, Sr, Fe, Zn, Cu and Ti) are observed in the neem plant. The variation in elemental concentration in the leaf may be due to soil, water, etc. However, there are no toxic elements observed like arsenic and lead in the leaf. Further, though the presence of different medicinal values in the target specimen chemical multi-elements observed in ppm level. However, there are more chemical analysis to be required for the functionalization of active biomedical applications for these kinds of medicinal species.
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Affiliation(s)
- Manikandan Elayaperumal
- Central Research Laboratory, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Science and Technology (BIST), Chromepet, Chennai, Tamil Nadu, 600044, India.
- Nanosciences African Network (NANOAFNET), iThemba LABS-National Research Foundation, 1 Old Faure Road, Somerset West 7129, P.O. Box 722, Somerset West, Western Cape Province, South Africa.
- UNESCO-UNISA Africa Chair in Nanosciences/Nanotechnology, College of Graduate Studies, University of South Africa, Muckleneuk Ridge, P.O. Box 392, Pretoria, South Africa.
| | - Yaminipriya Vedachalam
- Central Research Laboratory, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Science and Technology (BIST), Chromepet, Chennai, Tamil Nadu, 600044, India
| | - Dhanasekar Loganathan
- Central Research Laboratory, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Science and Technology (BIST), Chromepet, Chennai, Tamil Nadu, 600044, India
| | - Thanigai Arul Kumaravelu
- Energy and Biophotonics Laboratory, Department of Physics, Academy of Maritime Education and Training (AMET), Kanathur, Tamil Nadu, 603112, India
| | | | - John Kennedy
- Nanosciences African Network (NANOAFNET), iThemba LABS-National Research Foundation, 1 Old Faure Road, Somerset West 7129, P.O. Box 722, Somerset West, Western Cape Province, South Africa
- UNESCO-UNISA Africa Chair in Nanosciences/Nanotechnology, College of Graduate Studies, University of South Africa, Muckleneuk Ridge, P.O. Box 392, Pretoria, South Africa
- National Isotope Centre, Ion Beam Analysis Research Laboratory, Geological and Nuclear Science , PO Box 31312, Lower Hutt, New Zealand
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7
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Zapora-Kurel A, Kuźma Ł, Zakrzewska M, Żórawski M, Dobrzycki S, Twardowska-Kawalec M, Małyszko J. Novel Iron Parameters in Patients with Type 2 Diabetes Mellitus in Relation to Kidney Function. J Clin Med 2021; 10:jcm10163732. [PMID: 34442028 PMCID: PMC8397038 DOI: 10.3390/jcm10163732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/12/2021] [Accepted: 08/20/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND/AIMS Anemia of chronic disease is a common feature in diabetes and chronic kidney disease. Hepcidin is the key element involved in iron metabolism; however, studies on new indices of iron status are still ongoing. The aim of the study was to assess novel iron parameters in patients with type 2 diabetes mellitus in relation to kidney function. METHODS The study included 80 type 2 diabetic patients and 23 healthy volunteers. Standard laboratory measurements were used to measure the iron status, complete blood count, creatinine, the estimated glomerular filtration rate (eGFR), serum lipids, and brain natriuretic peptides (BNPs). Commercially available kits were used to measure hepcidin-25, the soluble transferrin receptor (sTfR), growth differentiation factor-15 (GDF-15), and hypoxia-inducible factor-1 alpha. RESULTS Anemia was present in 65% of the studied patients. The control group was found to have significantly higher hepcidin, sTfR, and GDF-15, and lower hemoglobin and iron. When compared with patients with eGFR values ≥60 mL/min/1.73 m2 and <60 mL/min/1.73 m2, we found that patients with higher eGFR had higher hemoglobin, ferritin, and HIF-1 alpha, lower BNP, and were younger. We found that levels of HIF-1 alpha are negligible in the studied population and were related to age only in patients with eGFR values ≥60 mL/min/1.73 m2. CONCLUSION A comprehensive assessment of iron status is rarely performed. Novel biomarkers of iron metabolism are not generally related to kidney function. Whether the assessment of HIF-1 alpha would be a marker of efficient anemia therapy with HIF-prolyl hydroxylase inhibitors is still a matter for further study.
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Affiliation(s)
- Agnieszka Zapora-Kurel
- 2nd Department of Nephrology with Hypertension and Dialysis, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.Z.-K.); (M.Z.)
| | - Łukasz Kuźma
- Department of Invasive Cardiology, Medical University of Bialystok, 15-089 Bialystok, Poland; (L.K.); (S.D.)
| | - Magdalena Zakrzewska
- 2nd Department of Nephrology with Hypertension and Dialysis, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.Z.-K.); (M.Z.)
| | - Marcin Żórawski
- Department of Clinical Medicine, Medical University of Bialystok, 15-089 Bialystok, Poland;
| | - Sławomir Dobrzycki
- Department of Invasive Cardiology, Medical University of Bialystok, 15-089 Bialystok, Poland; (L.K.); (S.D.)
| | | | - Jolanta Małyszko
- Department of Nephrology, Dialysis and Internal Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland;
- Correspondence: ; Tel.: +48-22-599-2660
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8
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Yu B, Liu J, Cheng J, Zhang L, Song C, Tian X, Fan Y, Lv Y, Zhang X. A Static Magnetic Field Improves Iron Metabolism and Prevents High-Fat-Diet/Streptozocin-Induced Diabetes. ACTA ACUST UNITED AC 2021; 2:100077. [PMID: 34557734 PMCID: PMC8454665 DOI: 10.1016/j.xinn.2021.100077] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/03/2021] [Indexed: 11/16/2022]
Abstract
Type 2 diabetes (T2D) is a metabolic disorder with high prevalence and severe complications that has recently been indicated to be treatable by a combined static magnetic field (SMF) and electric field. We systematically compared four types of SMFs and found that a downward SMF of ∼100 mT could effectively reduce the development of hyperglycemia, fatty liver, weight gain, and tissue injury in high-fat-diet (HFD)/streptozocin-induced T2D mice, but not the upward SMF. The downward SMF markedly restored the Bacteroidetes population and reversed the iron complex outer membrane receptor gene reduction in the mice gut microbiota, and reduced iron deposition in the pancreas. SMF also reduced the labile iron and reactive oxygen species level in pancreatic Min6 cells in vitro and prevented palmitate-induced Min6 cell number reduction. Therefore, this simple SMF setting could partially prevent HFD-induced T2D development and ameliorate related symptoms, which could provide a low-cost and non-invasive physical method to prevent and/or treat T2D in the future.
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Affiliation(s)
- Biao Yu
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230036, P.R. China
| | - Juanjuan Liu
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China
| | - Jing Cheng
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China
| | - Lei Zhang
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China
| | - Chao Song
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230036, P.R. China
| | - Xiaofei Tian
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, P.R. China
| | - Yixiang Fan
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230036, P.R. China
| | - Yue Lv
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230036, P.R. China
| | - Xin Zhang
- High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P.R. China.,Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230036, P.R. China.,Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, P.R. China
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9
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Zhou B, Liu S, Yuan G. Combined Associations of Serum Ferritin and Body Size Phenotypes With Cardiovascular Risk Profiles: A Chinese Population-Based Study. Front Public Health 2021; 9:550011. [PMID: 33659229 PMCID: PMC7917052 DOI: 10.3389/fpubh.2021.550011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 01/20/2021] [Indexed: 11/18/2022] Open
Abstract
Background: Serum ferritin (SF) has been correlated with one or more metabolic syndrome features associated with an increased risk for cardiovascular disease (CVD). This study explored the associations between SF and CVD risk factors among different body size phenotypes that were based on metabolic status and body mass index (BMI) categories. Methods: A cross-sectional study was performed using a cohort of 7,549 Chinese adults from the China Health and Nutrition Survey. Participants did not exhibit acute inflammation, were not underweight and were stratified based on their metabolic status and BMI categories. The metabolically at-risk status was defined as having two or more criteria of the Adult Treatment Panel-III metabolic syndrome definition, excluding waist circumference. Results: Compared with individuals without high SF, subjects with high SF had an increased risk of diabetes in the metabolically at-risk normal-weight (MANW) and metabolically at-risk overweight/obesity (MAO) groups. The multivariate-adjusted odds ratios (ORs) were 1.52 [95% confidence interval (Cls): 1.02, 2.28] and 1.63 (95% Cls: 1.27, 2.09), respectively. Adjusted ORs for hyperuricemia from high SF in metabolically healthy normal-weight (MHNW), metabolically healthy overweight/obesity (MHO), MANW, and MAO phenotypes were 1.78 (95% Cls: 1.26, 2.53), 1.42 (95% Cls: 1.03, 1.95), 1.66 (95% Cls: 1.17, 2.36), and 1.42 (95% Cls: 1.17, 1.73), respectively. Similarly, positive correlations of high SF with triglycerides, non-high-density lipoprotein cholesterol, and apolipoprotein B100 were observed in all phenotypes. No association between high SF and elevated low-density lipoprotein cholesterol were observed among participants who were metabolically at-risk, regardless of their BMI categories. However, the ORs for elevated low-density lipoprotein cholesterol from high SF were 1.64 (95% Cls: 1.29, 2.08) in the MHNW group and 1.52 (95% Cls:1.22, 1.91) in the MHO group, significantly. This study demonstrated that the highest ORs were in MAO with a high SF group for all unfavorable CVD risk factors except low-density lipoprotein cholesterol (all p < 0.001). Conclusions: The associations of high SF with the prevalence of CVD risk factors, including diabetes, dyslipidemia, and hyperuricemia, vary in individuals among different body size phenotypes. In the MAO group, subjects with high SF levels exhibited worse CVD risk profiles than individuals without high SF.
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Affiliation(s)
| | | | - Gang Yuan
- Department of Endocrinology and Metabolism, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
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10
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Dahyaleh K, Sung HK, Prioriello M, Rengasamy P, Lam NH, Kim JB, Gross S, Sweeney G. Iron overload reduces adiponectin receptor expression via a ROS/FOXO1-dependent mechanism leading to adiponectin resistance in skeletal muscle cells. J Cell Physiol 2021; 236:5339-5351. [PMID: 33432609 DOI: 10.1002/jcp.30240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 11/11/2022]
Abstract
Iron overload (IO) is a common yet underappreciated finding in metabolic syndrome (MetS) patients. With the prevalence of MetS continuing to rise, it is imperative to further elucidate cellular mechanisms leading to metabolic dysfunction. Adiponectin has many beneficial effects and is a therapeutic target for the treatment of MetS and cardiovascular diseases. IO positively correlates with reduced circulating adiponectin levels yet the impact of IO on adiponectin action is unknown. Here, we established a model of IO in L6 skeletal muscle cells and found that IO-induced adiponectin resistance. This was shown via reduced p38 mitogen-activated protein kinase phosphorylation in response to the small molecule adiponectin receptor (AdipoR) agonist, AdipoRon, in presence of IO. This correlated with reduced messenger RNA and protein levels of AdipoR1 and its facilitative signaling binding partner, APPL1. IO caused phosphorylation, nuclear extrusion, and thus inhibition of FOXO1, a known transcription factor regulating AdipoR1 expression. The antioxidant N-acetyl cystine attenuated the production of reactive oxygen species (ROS) by IO, and blunted its effect on FOXO1 phosphorylation and removal from the nucleus, as well as subsequent adiponectin resistance. In conclusion, our study identifies a ROS/FOXO1/AdipoR1 axis as a cause of skeletal muscle adiponectin resistance in response to IO. This new knowledge provides insight into a cellular mechanism with potential relevance to disease pathophysiology in MetS patients with IO.
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Affiliation(s)
| | - Hye K Sung
- Department of Biology, York University, Toronto, Canada
| | | | | | - Nhat H Lam
- Department of Biology, York University, Toronto, Canada
| | - Jae B Kim
- School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Sean Gross
- Department of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Knight Cancer Institute, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Gary Sweeney
- Department of Biology, York University, Toronto, Canada
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Van der Loo LE, Aquarius R, Teernstra O, Klijn K, Menovsky T, van Dijk JMC, Bartels R, Boogaarts HD. Iron chelators for acute stroke. Cochrane Database Syst Rev 2020; 11:CD009280. [PMID: 33236783 PMCID: PMC8095068 DOI: 10.1002/14651858.cd009280.pub3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Stroke is the second leading cause of death and a major cause of morbidity worldwide. Retrospective clinical and animal studies have demonstrated neuroprotective effects of iron chelators in people with haemorrhagic or ischaemic stroke. This is the first update of the original Cochrane Review published in 2012. OBJECTIVES To evaluate the effectiveness and safety of iron-chelating drugs in people with acute stroke. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register (2 September 2019), the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library 2019, Issue 9; 2 September 2019), MEDLINE Ovid (2 September 2019), Embase Ovid (2 September 2019), and Science Citation Index (2 September 2019). We also searched ongoing trials registers. SELECTION CRITERIA We included randomised controlled trials (RCTs) of iron chelators versus no iron chelators or placebo for the treatment of acute stroke, including subarachnoid haemorrhage. DATA COLLECTION AND ANALYSIS Two review authors independently screened the search results. We obtained the full texts of potentially relevant studies and evaluated them for eligibility. We assessed risk of bias using the Cochrane 'Risk of bias' tool, and the certainty of evidence using the GRADE approach. MAIN RESULTS Two RCTs (333 participants) were eligible for inclusion; both compared the iron-chelating agent deferoxamine against placebo. Both studies evaluated participants with spontaneous intracerebral haemorrhage. We assessed one study to have a low risk of bias; the other study had potential sources of bias. The limited and heterogeneous data did not allow for meta-analysis of the outcome parameters. The evidence suggests that administration of deferoxamine may result in little to no difference in deaths (8% in placebo vs 8% in deferoxamine at 180 days; 1 RCT, 291 participants; low-certainty evidence). These RCTs suggest that there may be little to no difference in good functional outcome (modified Rankin Scale score 0 to 2) between groups at 30, 90 and 180 days (placebo vs deferoxamine: 67% vs 57% at 30 days and 36% vs 45% at 180 days; 2 RCTs, 333 participants; low-certainty evidence). One RCT suggests that administration of deferoxamine may not increase the number of serious adverse events or deaths (placebo vs deferoxamine: 33% vs 27% at 180 days; risk ratio 0.81, 95 % confidence interval 0.57 to 1.16; 1 RCT, 291 participants; low-certainty evidence). No data were available on any deaths within the treatment period. Deferoxamine may result in little to no difference in the evolution of National Institute of Health Stroke Scale scores from baseline to 90 days (placebo vs deferoxamine: 13 to 4 vs 13 to 3; P = 0.37; 2 RCTs, 333 participants; low-certainty evidence). Deferoxamine may slightly reduce relative oedema surrounding intracerebral haemorrhage at 15 days (placebo vs deferoxamine: 1.91 vs 10.26; P = 0.042; 2 RCTs, 333 participants; low-certainty evidence). Neither study reported quality of life. AUTHORS' CONCLUSIONS We identified two eligible RCTs for assessment. We could not demonstrate any benefit for the use of iron chelators in spontaneous intracerebral haemorrhage. The added value of iron-chelating therapy in people with ischaemic stroke or subarachnoid haemorrhage remains unknown.
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Affiliation(s)
- Lars E Van der Loo
- Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, Netherlands
| | - René Aquarius
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Onno Teernstra
- Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Karin Klijn
- Department of Neurology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Tomas Menovsky
- Department of Neurosurgery, Antwerp University Hospital, Antwerp, Belgium
| | - J Marc C van Dijk
- Department of Neurosurgery, University Medical Center Groningen, Gronigen, Netherlands
| | - Ronald Bartels
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
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Rametta R, Meroni M, Dongiovanni P. From Environment to Genome and Back: A Lesson from HFE Mutations. Int J Mol Sci 2020; 21:ijms21103505. [PMID: 32429125 PMCID: PMC7279025 DOI: 10.3390/ijms21103505] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/07/2020] [Accepted: 05/12/2020] [Indexed: 02/06/2023] Open
Abstract
The environment and the human genome are closely entangled and many genetic variations that occur in human populations are the result of adaptive selection to ancestral environmental (mainly dietary) conditions. However, the selected mutations may become maladaptive when environmental conditions change, thus becoming candidates for diseases. Hereditary hemochromatosis (HH) is a potentially lethal disease leading to iron accumulation mostly due to mutations in the HFE gene. Indeed, homozygosity for the C282Y HFE mutation is associated with the primary iron overload phenotype. However, both penetrance of the C282Y variant and the clinical manifestation of the disease are extremely variable, suggesting that other genetic, epigenetic and environmental factors play a role in the development of HH, as well as, and in its progression to end-stage liver diseases. Alcohol consumption and dietary habits may impact on the phenotypic expression of HFE-related hemochromatosis. Indeed, dietary components and bioactive molecules can affect iron status both directly by modulating its absorption during digestion and indirectly by the epigenetic modification of genes involved in its uptake, storage and recycling. Thus, the premise of this review is to discuss how environmental pressures led to the selection of HFE mutations and whether nutritional and lifestyle interventions may exert beneficial effects on HH outcomes and comorbidities.
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Affiliation(s)
- Raffaela Rametta
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (R.R.); (M.M.)
| | - Marica Meroni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (R.R.); (M.M.)
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy
| | - Paola Dongiovanni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (R.R.); (M.M.)
- Correspondence: ; Tel.: +39-02-5503-3467; Fax: +39-02-5503-4229
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Ghosh GC, Khan MJH, Chakraborty TK, Zaman S, Kabir AHME, Tanaka H. Human health risk assessment of elevated and variable iron and manganese intake with arsenic-safe groundwater in Jashore, Bangladesh. Sci Rep 2020; 10:5206. [PMID: 32251356 PMCID: PMC7090083 DOI: 10.1038/s41598-020-62187-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 03/05/2020] [Indexed: 11/21/2022] Open
Abstract
Groundwater through hand-operated tubewell (a type of water well) tapping is the main source of drinking water in Bangladesh. This study investigated iron and manganese concentration in groundwater across Jashore district–one of the worst arsenic contaminated area in Bangladesh. One working tubewell that had been tested previously for arsenic and marked safe (green) was selected from each unions of the district. Results revealed that approximately 73% and 87% of groundwater samples exceeded the limits for iron and manganese in Bangladesh drinking water, respectively. Additionally, spatial distribution of iron and manganese indicate that only 5% of the total surface area of groundwater is covered by safe level of iron and manganese. Human health risk due to ingestion of iron and manganese through drinking water was evaluated using hazard quotients (HQ) for adults and children. The result of the health risk assessment revealed that the non-carcinogenic health risks due to ingestion of iron (HQ up to 1.446 for adults and 0.590 for children) and manganese (HQ up to 2.459 for adults and 1.004 for children) contaminated groundwater are much higher among adults than children. On the basis of occurrences, spatial distribution and health risk assessment results, the area can be categorized as a high-risk zone for iron and manganese-related problems and needs special attention in order to protect public health of local residents.
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Affiliation(s)
- Gopal Chandra Ghosh
- Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
| | - Md Jahed Hassan Khan
- Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Tapos Kumar Chakraborty
- Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Samina Zaman
- Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - A H M Enamul Kabir
- Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Hiroaki Tanaka
- Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Otsu, Japan
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Association between iron deficiency and prevalence of thyroid autoimmunity in pregnant and non-pregnant women of childbearing age: a cross-sectional study. Chin Med J (Engl) 2020; 132:2143-2149. [PMID: 31478926 PMCID: PMC6797140 DOI: 10.1097/cm9.0000000000000409] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background: Thyroid autoimmunity (TAI) is prevalent among women of reproductive age and associated with adverse pregnancy outcomes. This study aimed to investigate the association between iron nutritional status and the prevalence of TAI in women during the first trimester of pregnancy and in non-pregnant women of childbearing age. Methods: Cross-sectional analysis of 7463 pregnant women during the first trimester of pregnancy and 2185 non-pregnant women of childbearing age nested within the sub-clinical hypothyroid in early pregnancy study, a prospective collection of pregnant and non-pregnant women's data, was conducted in Liaoning province of China between 2012 and 2015. Serum thyrotropin, free thyroxine, thyroid peroxidase antibodies (TPOAbs), thyroglobulin antibodies (TgAbs), serum ferritin, and urinary iodine were measured. Iron deficiency (ID) was defined as serum ferritin <15 μg/L and iron overload (IO) was defined as ferritin >150 μg/L. TPOAb-positive was defined as >34 U/mL and TgAb-positive was defined as >115 U/mL. Multilevel logistic regression was conducted to examine the association between TAI and different iron nutritional status after adjusting for potential confounders. Results: The prevalence of isolated TPOAb-positive was markedly higher in women with ID than those without ID, in both pregnant and non-pregnant women (6.28% vs. 3.23%, χ2 = 10.264, P = 0.002; 6.25% vs. 3.70%, χ2 = 3,791, P = 0.044; respectively). After adjusting for confounders and the cluster effect of hospitals, ID remained associated with TPOAb-positive in pregnant and non-pregnant women (odds ratio [OR]: 2.111, 95% confidence interval [CI]: 1.241–3.591, P = 0.006; and OR: 1.822, 95% CI: 1.011–3.282, P = 0.046, respectively). Conclusion: ID was associated with a higher prevalence of isolated TPOAbs-positive, but not with isolated TgAb-positive, in both pregnant women during the first trimester of pregnancy and non-pregnant women of childbearing age, while IO was not associated with either isolated TPOAb-positive or isolated TgAb-positive. Clinical trial registration: ChiCTR-TRC-13003805, http://www.chictr.org.cn/index.aspx.
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Yu L, Yan J, Zhang Q, Lin H, Zhu L, Liu Q, Zhao C. Association between Serum Ferritin and Blood Lipids: Influence of Diabetes and hs-CRP Levels. J Diabetes Res 2020; 2020:4138696. [PMID: 32280714 PMCID: PMC7128071 DOI: 10.1155/2020/4138696] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 03/07/2020] [Indexed: 12/29/2022] Open
Abstract
This study is aimed at exploring the relationship between serum ferritin and blood lipids and the influence of diabetes and different hs-CRP levels. A total of 8163 subjects were analyzed. Participators were classified according to serum ferritin, diabetes, and two hs-CRP levels. Blood lipids were determined using standardized methods and conditions. Except for HDL-C, there was a significant increase in blood lipids in the progressive ferritin group with normal hs-CRP levels (P < 0.05). But HDL-C was just the opposite (P < 0.0001). In nondiabetic patients, TG, TC, and LDL-C were significantly elevated in the progressive ferritin group (P < 0.05). And, HDL-C was just the opposite (P < 0.05). The generalized linear model and the parsimonious model showed that serum TG was positively correlated with ferritin, and LDL-C was negatively correlated with ferritin (P < 0.05). But the correlation between LDL-C and ferritin was broken (P > 0.05). After a sufficient adjustment, there was a positive correlation between serum TG and ferritin and a negative correlation between LDL-C and ferritin. Nonetheless, a negative correlation between LDL-C and ferritin is influenced by diabetes frailly. And, there was no change of relationship between lipids and ferritin in different hs-CRP levels. We found a real relationship between ferritin and lipids after sufficient adjustment for confounders.
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Affiliation(s)
- Lianlong Yu
- Institution of Food and Nutrition, Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Jingyi Yan
- Institution of Food and Nutrition, Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Qian Zhang
- Law Enforcement and Supervision Bureau of Shandong Provincial Health Commission, Ji'nan, Shandong, China
| | - Hong Lin
- Qianfoshan Hospital, Ji'nan, Shandong, China
| | - Lichao Zhu
- Department of Pediatric Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Ji'nan, Shandong, China
| | - Qiangqiang Liu
- Department of General Practice, Qilu Hospital of Shandong University, Ji'nan, Shandong, China
| | - Changsheng Zhao
- Department of Nutriology, The Second Hospital of Shandong University, Ji'nan, Shandong, China
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Jiang L, Wang K, Lo K, Zhong Y, Yang A, Fang X, Akezhuoli H, Song Z, Chen L, An P, Xu M, Min J, Wang F. Sex-Specific Association of Circulating Ferritin Level and Risk of Type 2 Diabetes: A Dose-Response Meta-Analysis of Prospective Studies. J Clin Endocrinol Metab 2019; 104:4539-4551. [PMID: 31074789 DOI: 10.1210/jc.2019-00495] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/06/2019] [Indexed: 12/15/2022]
Abstract
CONTEXT Although the role of iron in the development of type 2 diabetes (T2D) has long been a concern, prospective studies directly linking body iron stores to T2D risk in a sex-dependent context have been inconsistent. OBJECTIVE A systematic meta-analysis was conducted to explore the sex-specific association of circulating ferritin with T2D risk. DATA SOURCES We searched PubMed, Web of Science, and EMBASE databases to identify available prospective studies through 1 August 2018. RESULTS Fifteen prospective studies comprising 77,352 participants and 18,404 patients with T2D, aged 20 to 80 years, and with ∼3 to 17 years of follow-up were identified. For each 100-μg/L increment in ferritin levels of overall participants, T2D risk increased by 22% (RR, 1.22; 95% CI, 1.14 to 1.31). Of note, major heterogeneities by sex were identified, with increased ferritin level having an apparently greater effect on T2D risk in women (RR, 1.53; 95% CI, 1.29 to 1.82) than in men (RR, 1.21; 95% CI, 1.15 to 1.27) after exclusion of a study with high heterogeneity (41,512 men and 6974 women for sex-specific analyses; P = 0.020 for sex difference). Further nonlinear analysis between circulating ferritin and T2D risk also showed sex-dimorphic association in that the T2D risk of women was twice as strong in magnitude as that of men at the same ferritin level. CONCLUSIONS Greater circulating ferritin levels were independently associated with increased T2D risk, which appeared stronger among women than men. Our findings provide prospective evidence for further testing of the utility of ferritin levels in predicting T2D risk in a sex-specific manner.
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Affiliation(s)
- Li Jiang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- The First Affiliated Hospital, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Kai Wang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Kenneth Lo
- Departments of Cardiology and Endocrinology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, Rhode Island
| | - Yueyang Zhong
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Aimin Yang
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Kong Kong SAR, China
| | - Xuexian Fang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Hailati Akezhuoli
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Zijun Song
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Liyun Chen
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Peng An
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
| | - Mingqing Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Junxia Min
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Fudi Wang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- The First Affiliated Hospital, School of Public Health, Zhengzhou University, Zhengzhou, China
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An increased mortality risk is associated with abnormal iron status in diabetic and non-diabetic Veterans with predialysis chronic kidney disease. Kidney Int 2019; 96:750-760. [DOI: 10.1016/j.kint.2019.04.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 03/22/2019] [Accepted: 04/24/2019] [Indexed: 12/14/2022]
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Thomas B, Prasad BR, Kumari NS, Radhakrishna V, Ramesh A. A comparative evaluation of the micronutrient profile in the serum of diabetes mellitus Type II patients and healthy individuals with periodontitis. J Indian Soc Periodontol 2019; 23:12-20. [PMID: 30692737 PMCID: PMC6334553 DOI: 10.4103/jisp.jisp_398_18] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Background Micronutrients play an important part in metabolism and maintenance of tissue function the maintenance of the integrity and vitality of the periodontal tissues depends on the availability of adequate nutrients, and it is possible that deficiencies can produce pathological alterations in the periodontal tissues. However, the association between nutritional factors and periodontal health is not fully understood. The essential micronutrients for maintaining health include zinc, copper, selenium, and iron. These micronutrients are required for a variety of biomolecules to maintain the normal structure, function, and proliferation of cells and also immune functions. Periodontal disease and diabetes mellitus (DM) are considered to have a bidirectional relationship, and periodontitis is recognized as the 6th major complication of DM. The number of studies on the role of micronutrients with regard to periodontal disease is limited. Aims This study aims to evaluate the role of micronutrients-zinc, copper, selenium, and iron, in the serum of chronic periodontitis patients and chronic periodontitis with DM Type II patients, to see whether they can serve as potential markers for chronic periodontitis and also to assess whether periodontitis can have systemic effects. Materials and Methods A volume of 5 ml of venous blood was collected from each of the study participants, from the antecubital vein. The blood was then centrifuged and stored at -20°C before being analyzed. Zinc, copper, and selenium were estimated by the atomic absorption spectrophotometry, bathophenanthroline method was used to estimate iron. Statistical Analysis It was carried out using Student's t-test and analysis of variance. The honestly significant difference Tukey test and Pearson's correlation was also used. Results The mean serum zinc levels were significantly higher in healthy controls as compared to Periodontitis and Periodontitis with DM type II. The mean serum copper levels were significantly higher in Periodontitis with diabetes as compared to controls and periodontitis. Serum selenium levels were significantly higher in controls as compared to periodontitis with diabetes. The mean serum iron levels were significantly higher in periodontitis with diabetes. The Zinc: Copper (Zn: Cu) ratio was found to be significant for the periodontitis with diabetes group. Conclusion The results obtained from this study suggests that the serum levels of micronutrients Zn and Se were decreased and levels of Cu and Fe are increased in chronic periodontitis as compared to healthy control. There was a potentiated difference in the values in patients with DM Type II. The results show that the levels of these micronutrients can be used as effective biomarkers for chronic periodontitis and that periodontitis has systemic manifestations.
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Affiliation(s)
- Biju Thomas
- Department of Periodontics, A B Shetty Memorial Institute of Dental Sciences, Nitte University, Mangalore, Karnataka, India
| | - Ballamajalu Rajendra Prasad
- Department of Oral and Maxillofacial Surgery, A B Shetty Memorial Institute of Dental Sciences, Nitte University, Mangalore, Karnataka, India
| | - Nallilu Suchetha Kumari
- Department of Biochemistry, K S Hegde Medical Academy, Nitte University, Mangalore, Karnataka, India
| | - Vishakh Radhakrishna
- Department of Biochemistry, Central Research Laboratory, Nitte University, Mangalore, Karnataka, India
| | - Amitha Ramesh
- Department of Periodontics, A B Shetty Memorial Institute of Dental Sciences, Nitte University, Mangalore, Karnataka, India
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Voinov V. Therapeutic Apheresis in Metabolic Syndrome. IMMUNOLOGY, ENDOCRINE & METABOLIC AGENTS IN MEDICINAL CHEMISTRY 2018; 18:38-54. [PMID: 30369968 PMCID: PMC6174637 DOI: 10.2174/1871522218666180608114536] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 05/21/2018] [Accepted: 05/25/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND The metabolic syndrome unites three pathologies of the person - obesity, arterial hypertension and diabetes. In recent years the progressing of such distribution covering from 2.5% to 3.8% of the population with increase twice each 10-15 years is noted. Even at maintenance of level of sugar at diabetes accumulation of the secondary metabolites breaking small vessels isn't excluded. At the same time many life-endangering complications develop. OBJECTIVE To identify the possibilities of plasmapheresis in the prevention and treatment of complications of metabolic syndrome. METHOD Analysis of the world literature data on complications of metabolic syndrome and methods of their treatment. RESULTS At metabolic syndrome the frequency of strokes and myocardial infarctions there is twice more often than in population. For 5-9 years the general life expectancy decreases. Disorders of microcirculation at diabetes lead to a retinopathy with total loss of sight, a nephropathy from the outcome in a renal failure, to polyneuropathy and diabetic foot syndrome with high risk of high level amputations of the lower extremities. At the same time medicamentous therapy is not able to prevent such complications and almost only way of removal of these pathological metabolites is therapeutic apheresis, mainly the plasmapheresis. Data from our own studies confirm the effectiveness of such tactics. CONCLUSION Plasmapheresis has to be applied not only to the correction of already critical conditions, but also to their prevention.
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Affiliation(s)
- V.A. Voinov
- I.P. Pavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia
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20
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Naslı-Esfahani E, Larijani B, Amini P, Ghodssi-Ghassemabadi R, Razmandeh R. Effect of treatment of iron deficiency anemia onhemoglobin A1c in type 2 diabetic patients. Turk J Med Sci 2017; 47:1441-1446. [PMID: 29151315 DOI: 10.3906/sag-1601-27] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Background/aim: Iron deficiency anemia (IDA) affects hemoglobin A1c (HbA1c) levels. This study aimed to evaluate the effect of treatment of iron deficiency anemia on hemoglobin A1c in type 2 diabetic patients.Materials and methods: Ninety type 2 diabetes mellitus (T2DM) patients with IDA were included in a randomized, placebo-controlled, single-blind clinical trial. The intervention group (n = 45) received 200 mg/day oral iron for 3 months and the control group (n = 45) received an oral placebo for the same period. Fasting blood sugar, complete blood count, and HbA1c were measured for all subjects at the beginning and the end of the trial.Results: The mean age of the treatment and control group was 51.47 ± 1.05 and 52 ± 1.1 years, respectively. The two groups were not statistically significantly different with regard to diabetes duration (P = 0.436) and age (P = 0.617). Hemoglobin, mean corpuscular volume, mean corpuscular hemoglobin, serum iron, ferritin, total iron-binding capacity, and HbA1c were significantly improved in the intervention group in comparison with the control group (P = 0.005).Conclusion: Iron status should be considered during the interpretation of the HbA1c concentrations in diabetes mellitus. Iron replacement therapy can decrease HbA1c in anemic patients with IDA and T2DM.
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Koppe T, Patchen B, Cheng A, Bhasin M, Vulpe C, Schwartz RE, Moreno‐Navarrete JM, Fernandez‐Real JM, Pissios P, Fraenkel PG. Nicotinamide N-methyltransferase expression decreases in iron overload, exacerbating toxicity in mouse hepatocytes. Hepatol Commun 2017; 1:803-815. [PMID: 29404495 PMCID: PMC5678920 DOI: 10.1002/hep4.1083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 07/27/2017] [Accepted: 08/01/2017] [Indexed: 12/19/2022] Open
Abstract
Iron overload causes the generation of reactive oxygen species that can lead to lasting damage to the liver and other organs. The goal of this study was to identify genes that modify the toxicity of iron overload. We studied the effect of iron overload on the hepatic transcriptional and metabolomic profile in mouse models using a dietary model of iron overload and a genetic model, the hemojuvelin knockout mouse. We then evaluated the correlation of nicotinamide N-methyltransferase (NNMT) expression with body iron stores in human patients and the effect of NNMT knockdown on gene expression and viability in primary mouse hepatocytes. We found that iron overload induced significant changes in the expression of genes and metabolites involved in glucose and nicotinamide metabolism and that NNMT, an enzyme that methylates nicotinamide and regulates hepatic glucose and cholesterol metabolism, is one of the most strongly down-regulated genes in the liver in both genetic and dietary iron overload. We found that hepatic NNMT expression is inversely correlated with serum ferritin levels and serum transferrin saturation in patients who are obese, suggesting that body iron stores regulate human liver NNMT expression. Furthermore, we demonstrated that adenoviral knockdown of NNMT in primary mouse hepatocytes exacerbates iron-induced hepatocyte toxicity and increases expression of transcriptional markers of oxidative and endoplasmic reticulum stress, while overexpression of NNMT partially reversed these effects. Conclusion: Iron overload alters glucose and nicotinamide transcriptional and metabolic pathways in mouse hepatocytes and decreases NNMT expression, while NNMT deficiency worsens the toxic effect of iron overload. For these reasons, NNMT may be a drug target for the prevention of iron-induced hepatotoxicity. (Hepatology Communications 2017;1:803-815).
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Affiliation(s)
- Tiago Koppe
- Division of Hematology/Oncology
- Cancer Research Institute, Beth Israel Deaconess Medical CenterBostonMA
- Department of MedicineHarvard Medical SchoolBostonMA
| | - Bonnie Patchen
- Division of Hematology/Oncology
- Cancer Research Institute, Beth Israel Deaconess Medical CenterBostonMA
- Department of MedicineHarvard Medical SchoolBostonMA
| | - Aaron Cheng
- Division of Hematology/Oncology
- Cancer Research Institute, Beth Israel Deaconess Medical CenterBostonMA
- Department of MedicineHarvard Medical SchoolBostonMA
| | - Manoj Bhasin
- Department of MedicineHarvard Medical SchoolBostonMA
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical CenterBostonMA
| | - Chris Vulpe
- Department of Physiological SciencesUniversity of FloridaGainesvilleFL
| | - Robert E. Schwartz
- Division of Gastroenterology and Hepatology, Weill Cornell Medical SchoolNew YorkNY
| | - Jose Maria Moreno‐Navarrete
- Department of Diabetes, Endocrinology and Nutrition, Institut d'Investigació Biomèdica de GironaHospital de Girona Dr. Josep Trueta and Universitat de GironaGironaSpain
- CIBER Fisopatologia de la Obesidad y Nutricion, Instituto de Salud Carlos IIIMadridSpain
| | - Jose Manuel Fernandez‐Real
- Department of Diabetes, Endocrinology and Nutrition, Institut d'Investigació Biomèdica de GironaHospital de Girona Dr. Josep Trueta and Universitat de GironaGironaSpain
- CIBER Fisopatologia de la Obesidad y Nutricion, Instituto de Salud Carlos IIIMadridSpain
| | - Pavlos Pissios
- Division of Endocrinology, Beth Israel Deaconess Medical CenterBostonMA
| | - Paula G. Fraenkel
- Division of Hematology/Oncology
- Cancer Research Institute, Beth Israel Deaconess Medical CenterBostonMA
- Department of MedicineHarvard Medical SchoolBostonMA
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22
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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: 1.6] [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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Hansen AF, Simić A, Åsvold BO, Romundstad PR, Midthjell K, Syversen T, Flaten TP. Trace elements in early phase type 2 diabetes mellitus-A population-based study. The HUNT study in Norway. J Trace Elem Med Biol 2017; 40:46-53. [PMID: 28159221 DOI: 10.1016/j.jtemb.2016.12.008] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 12/18/2016] [Accepted: 12/19/2016] [Indexed: 01/11/2023]
Abstract
Differences in trace elements levels between individuals with type 2 diabetes and controls have been reported in several studies in various body fluids and tissues, but results have been inconsistent. In order to examine trace element levels in the early phase of type 2 diabetes, we investigated the association between whole blood levels of 26 trace elements and the prevalence of previously undiagnosed, screening-detected type 2 diabetes. The study was conducted as a case-control study nested within the third survey of the population-based Nord-Trøndelag Health Study (HUNT3 Survey). Among participants without previously known diabetes, 128 cases of type 2 diabetes were diagnosed in people with a high diabetes risk score (FINDRISC≥15), and frequency-matched for age and sex with 755 controls. Blood samples were analyzed by high resolution inductively coupled plasma mass spectrometry. Associations between trace element levels and the prevalence of previously undiagnosed type 2 diabetes were evaluated with multivariable conditional logistic regression controlling for age, sex, body mass index, waist-to-hip ratio, education, income, smoking and family history of diabetes. The prevalence of previously undiagnosed type 2 diabetes increased across tertiles/quartiles for cadmium, chromium, iron, nickel, silver and zinc, and decreased with increasing quartiles of bromine (Ptrend<0.05). After corrections for multiple testing, associations for chromium remained significant (Qtrend<0.05), while associations for iron and silver were borderline significant. No associations were found for arsenic, boron, calcium, cesium, copper, gallium, gold, indium, lead, magnesium, manganese, mercury, molybdenum, rubidium, selenium, strontium, tantalum, thallium and tin. Our results suggest a possible role of bromine, cadmium, chromium, iron, nickel, silver and zinc in the development of type 2 diabetes.
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Affiliation(s)
- Ailin Falkmo Hansen
- Department of Chemistry, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Anica Simić
- Department of Chemistry, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bjørn Olav Åsvold
- Department of Endocrinology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Public Health and General Practice, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Pål Richard Romundstad
- Department of Public Health and General Practice, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristian Midthjell
- Department of Public Health and General Practice, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; HUNT Research Centre, Levanger, Norway
| | - Tore Syversen
- Department of Neuroscience, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Trond Peder Flaten
- Department of Chemistry, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
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24
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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: 33] [Impact Index Per Article: 4.7] [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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25
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Stechemesser L, Eder SK, Wagner A, Patsch W, Feldman A, Strasser M, Auer S, Niederseer D, Huber-Schönauer U, Paulweber B, Zandanell S, Ruhaltinger S, Weghuber D, Haschke-Becher E, Grabmer C, Rohde E, Datz C, Felder TK, Aigner E. Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism. Mol Metab 2016; 6:38-47. [PMID: 28123936 PMCID: PMC5220278 DOI: 10.1016/j.molmet.2016.10.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Revised: 10/17/2016] [Accepted: 10/24/2016] [Indexed: 02/06/2023] Open
Abstract
Objective Elevated serum ferritin has been linked to type 2 diabetes (T2D) and adverse health outcomes in subjects with the Metabolic Syndrome (MetS). As the mechanisms underlying the negative impact of excess iron have so far remained elusive, we aimed to identify potential links between iron homeostasis and metabolic pathways. Methods In a cross-sectional study, data were obtained from 163 patients, allocated to one of three groups: (1) lean, healthy controls (n = 53), (2) MetS without hyperferritinemia (n = 54) and (3) MetS with hyperferritinemia (n = 56). An additional phlebotomy study included 29 patients with biopsy-proven iron overload before and after iron removal. A detailed clinical and biochemical characterization was obtained and metabolomic profiling was performed via a targeted metabolomics approach. Results Subjects with MetS and elevated ferritin had higher fasting glucose (p < 0.001), HbA1c (p = 0.035) and 1 h glucose in oral glucose tolerance test (p = 0.002) compared to MetS subjects without iron overload, whereas other clinical and biochemical features of the MetS were not different. The metabolomic study revealed significant differences between MetS with high and low ferritin in the serum concentrations of sarcosine, citrulline and particularly long-chain phosphatidylcholines. Methionine, glutamate, and long-chain phosphatidylcholines were significantly different before and after phlebotomy (p < 0.05 for all metabolites). Conclusions Our data suggest that high serum ferritin concentrations are linked to impaired glucose homeostasis in subjects with the MetS. Iron excess is associated to distinct changes in the serum concentrations of phosphatidylcholine subsets. A pathway involving sarcosine and citrulline also may be involved in iron-induced impairment of glucose metabolism. This metabolomic study focuses on pathways linking iron status to insulin resistance. Metabolomic differences in Metabolic Syndrome with/without iron overload are shown. Phlebotomy changes methionine, glutamate and long-chain phosphatidylcholines levels. Phosphatidylcholines are involved in the interaction of iron and glucose homeostasis.
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Key Words
- +Fe, with iron overload
- ALT, alanine aminotransferase
- AST, aspartate aminotransferase
- Akt/PKB, Akt/protein kinase B
- BMI, body mass index
- CDP, Cytidinediphosphat
- CRP, C-reactive protein
- DIOS, dysmetabolic iron overload syndrome
- FoxO1, forkhead transcription factor O1
- GGT, gamma-glutamyl transpeptidase
- GLUT1, glucose transporter 1
- GNMT, glycine N-methyltransferase
- GSK3β, glycogen synthase kinase 3β
- Glucose
- HDL, high density lipoproteins
- HIF1α, hypoxia-inducible factor 1α
- HOMA-IR, homeostatic model assessment-insulin resistance
- Hyperferritinemia
- IL, interleukin
- IR, insulin resistance
- Iron overload
- LDL, low density lipoproteins
- MRI, magnet resonance imaging
- MetS, metabolic syndrome
- Metabolic syndrome
- Metabolomics
- NAFLD, non-alcoholic fatty liver disease
- PC, phosphatidylcholine
- PCOS, polycystic ovary syndrome
- PC_E, plasmalogens
- PEMT, phosphatidylethanolamine N-methyltransferase
- RBC, red blood count
- T2D, type 2 diabetes mellitus
- TNF, tumor necrosis factor
- VLDL, very low-densitylipoproteins
- WHO, World Health Organization
- WHR, waist hip ratio
- oGTT, oral glucose tolerance test
- −Fe, without iron overload
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Affiliation(s)
- Lars Stechemesser
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Sebastian K Eder
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Andrej Wagner
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Wolfgang Patsch
- Department of Pharmacology and Toxicology, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Alexandra Feldman
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Michael Strasser
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Simon Auer
- Department of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - David Niederseer
- Department of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria; Department of Cardiology, University Heart Center Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Ursula Huber-Schönauer
- Department of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria
| | - Bernhard Paulweber
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Stephan Zandanell
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Sandra Ruhaltinger
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Daniel Weghuber
- Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Elisabeth Haschke-Becher
- Department of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Christoph Grabmer
- Department of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Eva Rohde
- Department of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Christian Datz
- Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria
| | - Thomas K Felder
- Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria
| | - Elmar Aigner
- First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
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Li X, Li W, Gao Z, Li H. Association of cardiac injury with iron-increased oxidative and nitrative modifications of the SERCA2a isoform of sarcoplasmic reticulum Ca2+-ATPase in diabetic rats. Biochimie 2016; 127:144-52. [DOI: 10.1016/j.biochi.2016.05.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 05/17/2016] [Indexed: 12/21/2022]
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Pisano G, Lombardi R, Fracanzani AL. Vascular Damage in Patients with Nonalcoholic Fatty Liver Disease: Possible Role of Iron and Ferritin. Int J Mol Sci 2016; 17:ijms17050675. [PMID: 27164079 PMCID: PMC4881501 DOI: 10.3390/ijms17050675] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 04/20/2016] [Accepted: 04/26/2016] [Indexed: 02/06/2023] Open
Abstract
Non Alcoholic Fatty Liver Disease (NAFLD) is the most common chronic liver disease in Western countries. Recent data indicated that NAFLD is a risk factor by itself contributing to the development of cardiovascular disease independently of classical known risk factors. Hyperferritinemia and mild increased iron stores are frequently observed in patients with NAFLD and several mechanisms have been proposed to explain the role of iron, through oxidative stress and interaction with insulin metabolism, in the development of vascular damage. Moreover, iron depletion has been shown to decrease atherogenesis in experimental models and in humans. This review presents the recent evidence on epidemiology, pathogenesis, and the possible explanation of the role of iron and ferritin in the development of cardiovascular damage in patients with NAFLD, and discusses the possible interplay between metabolic disorders associated with NAFLD and iron in the development of cardiovascular disease.
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Affiliation(s)
- Giuseppina Pisano
- Department of Pathophysiology and Transplantation, Ca' Granda IRCCS Foundation, Policlinico Hospital, University of Milan, Centre of the Study of Metabolic and Liver Diseases, Via Francesco Sforza 35, 20122 Milan, Italy.
| | - Rosa Lombardi
- Department of Pathophysiology and Transplantation, Ca' Granda IRCCS Foundation, Policlinico Hospital, University of Milan, Centre of the Study of Metabolic and Liver Diseases, Via Francesco Sforza 35, 20122 Milan, Italy.
| | - Anna Ludovica Fracanzani
- Department of Pathophysiology and Transplantation, Ca' Granda IRCCS Foundation, Policlinico Hospital, University of Milan, Centre of the Study of Metabolic and Liver Diseases, Via Francesco Sforza 35, 20122 Milan, Italy.
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28
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Backe MB, Moen IW, Ellervik C, Hansen JB, Mandrup-Poulsen T. Iron Regulation of Pancreatic Beta-Cell Functions and Oxidative Stress. Annu Rev Nutr 2016; 36:241-73. [PMID: 27146016 DOI: 10.1146/annurev-nutr-071715-050939] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dietary advice is the cornerstone in first-line treatment of metabolic diseases. Nutritional interventions directed at these clinical conditions mainly aim to (a) improve insulin resistance by reducing energy-dense macronutrient intake to obtain weight loss and (b) reduce fluctuations in insulin secretion through avoidance of rapidly absorbable carbohydrates. However, even in the majority of motivated patients selected for clinical trials, massive efforts using this approach have failed to achieve lasting efficacy. Less attention has been given to the role of micronutrients in metabolic diseases. Here, we review the evidence that highlights (a) the importance of iron in pancreatic beta-cell function and dysfunction in diabetes and (b) the integrative pathophysiological effects of tissue iron levels in the interactions among the beta cell, gut microbiome, hypothalamus, innate and adaptive immune systems, and insulin-sensitive tissues. We propose that clinical trials are warranted to clarify the impact of dietary or pharmacological iron reduction on the development of metabolic disorders.
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Affiliation(s)
- Marie Balslev Backe
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark;
| | - Ingrid Wahl Moen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark;
| | - Christina Ellervik
- Department of Laboratory Medicine, Boston Children's Hospital, Boston, Massachusetts 02115
| | - Jakob Bondo Hansen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark;
| | - Thomas Mandrup-Poulsen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark;
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Lombardi R, Pisano G, Fargion S. Role of Serum Uric Acid and Ferritin in the Development and Progression of NAFLD. Int J Mol Sci 2016; 17:548. [PMID: 27077854 PMCID: PMC4849004 DOI: 10.3390/ijms17040548] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 04/01/2016] [Accepted: 04/05/2016] [Indexed: 12/12/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD), tightly linked to the metabolic syndrome (MS), has emerged as a leading cause of chronic liver disease worldwide. Since it is potentially progressive towards non-alcoholic steatohepatitis (NASH) and hepatic fibrosis, up to cirrhosis and its associated complications, the need for predictive factors of NAFLD and of its advanced forms is mandatory. Despite the current "gold standard" for the assessment of liver damage in NAFLD being liver biopsy, in recent years, several non-invasive tools have been designed as alternatives to histology, of which fibroscan seems the most promising. Among the different serum markers considered, serum uric acid (SUA) and ferritin have emerged as possible predictors of severity of liver damage in NAFLD. In fact, as widely described in this review, they share common pathogenetic pathways and are both associated with hepatic steatosis and MS, thus suggesting a likely synergistic action. Nevertheless, the power of these serum markers seems to be too low if considered alone, suggesting that they should be included in a wider perspective together with other metabolic and biochemical parameters in order to predict liver damage.
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Affiliation(s)
- Rosa Lombardi
- Department of Pathophysiology and Transplantation, IRCCS "Ca' Granda" IRCCS Foundation, Poiliclinico Hospital, University of Milan, Centro delle Malattie Metaboliche del Fegato, Milan 20122, Italy.
| | - Giuseppina Pisano
- Department of Pathophysiology and Transplantation, IRCCS "Ca' Granda" IRCCS Foundation, Poiliclinico Hospital, University of Milan, Centro delle Malattie Metaboliche del Fegato, Milan 20122, Italy.
| | - Silvia Fargion
- Department of Pathophysiology and Transplantation, IRCCS "Ca' Granda" IRCCS Foundation, Poiliclinico Hospital, University of Milan, Centro delle Malattie Metaboliche del Fegato, Milan 20122, Italy.
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30
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Márquez-Ibarra A, Huerta M, Villalpando-Hernández S, Ríos-Silva M, Díaz-Reval MI, Cruzblanca H, Mancilla E, Trujillo X. The Effects of Dietary Iron and Capsaicin on Hemoglobin, Blood Glucose, Insulin Tolerance, Cholesterol, and Triglycerides, in Healthy and Diabetic Wistar Rats. PLoS One 2016; 11:e0152625. [PMID: 27064411 PMCID: PMC4827844 DOI: 10.1371/journal.pone.0152625] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 03/16/2016] [Indexed: 12/11/2022] Open
Abstract
Objective Our aim was to assess the effects of dietary iron, and the compound capsaicin, on hemoglobin as well as metabolic indicators including blood glucose, cholesterol, triglycerides, insulin, and glucose tolerance. Materials and Methods Our animal model was the Wistar rat, fed a chow diet, with or without experimentally induced diabetes. Diabetic males were fed control, low, or high-iron diets, the latter, with or without capsaicin. Healthy rats were fed identical diets, but without the capsaicin supplement. We then measured the parameters listed above, using the Student t-test and ANOVA, to compare groups. Results Healthy rats fed a low-iron diet exhibited significantly reduced total cholesterol and triglyceride levels, compared with rats fed a control diet. Significantly reduced blood lipid was also provoked by low dietary iron in diabetic rats, compared with those fed a control diet. Insulin, and glucose tolerance was only improved in healthy rats fed the low-iron diet. Significant increases in total cholesterol were found in diabetic rats fed a high-iron diet, compared with healthy rats fed the same diet, although no statistical differences were found for triglycerides. Hemoglobin levels, which were not statistically different in diabetic versus healthy rats fed the high-iron diet, fell when capsaicin was added. Capsaicin also provoked a fall in the level of cholesterol and triglycerides in diabetic animals, versus diabetics fed with the high iron diet alone. In conclusion, low levels of dietary iron reduced levels of serum triglycerides, hemoglobin, and cholesterol, and significantly improved insulin, and glucose tolerance in healthy rats. In contrast, a high-iron diet increased cholesterol significantly, with no significant changes to triglyceride concentrations. The addition of capsaicin to the high-iron diet (for diabetic rats) further reduced levels of hemoglobin, cholesterol, and triglycerides. These results suggest that capsaicin, may be suitable for the treatment of elevated hemoglobin, in patients.
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Affiliation(s)
- Adriana Márquez-Ibarra
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - Miguel Huerta
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - Salvador Villalpando-Hernández
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Universidad No. 655 Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera C.P., Cuernavaca, Morelos, México
| | - Mónica Ríos-Silva
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - María I. Díaz-Reval
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - Humberto Cruzblanca
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - Evelyn Mancilla
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
| | - Xóchitl Trujillo
- Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
- * E-mail:
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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: 12] [Impact Index Per Article: 1.5] [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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Zhou F, Zhao Z, Tian L, Zheng T, Gao Y, Chen T, Yan F, Tian H. Association of Serum Ferritin Level with Risk of Incident Abnormal Glucose Metabolism in Southwestern China: a Prospective Cohort Study. Biol Trace Elem Res 2016; 169:27-33. [PMID: 26073512 DOI: 10.1007/s12011-015-0393-5] [Citation(s) in RCA: 3] [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: 03/29/2015] [Accepted: 06/01/2015] [Indexed: 11/30/2022]
Abstract
This prospective cohort study aimed to analyze the association between serum ferritin levels and the risk of abnormal glucose metabolism (AGM) in Southwestern Chinese population. The 383 subjects who are aged ≥20 years and free of AGM at baseline between in 2007 and in 2008 were included in Southwestern China, and their baseline serum ferritin levels were measured. Among these subjects, 140 subjects were developed into AGM during the follow-up (2008-2012). In logistic regression models, the relative risk in the top versus that in the lowest quartile of serum ferritin levels was 2.86 (p = 0.013) in females and 3.50 (p = 0.029) in males after adjusting the age, gender, family history of diabetes, current smoking, and alcohol; however, serum ferritin levels were not significantly associated with incident of AGM after controlling for metabolic factors (waist circumference, systolic pressure (SBP), triglyceride (TG), and homeostasis model assessment formula insulin resistance (HOMA-IR)). Elevated serum ferritin levels are associated with AGM but not an independent risk factor.
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Affiliation(s)
- Fangli Zhou
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Zhuoxian Zhao
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Li Tian
- Laboratory of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Tianpeng Zheng
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Yun Gao
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Tao Chen
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Fangfang Yan
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China
| | - Haoming Tian
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 GuoXue Street, Chengdu, 610041, Sichuan, People's Republic of China.
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Kim S, Park SK, Ryoo JH, Choi JM, Hong HP, Park JH, Suh YJ, Byoun YS. Incidental risk for diabetes according to serum ferritin concentration in Korean men. Clin Chim Acta 2015; 451:165-9. [DOI: 10.1016/j.cca.2015.09.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 09/23/2015] [Accepted: 09/23/2015] [Indexed: 10/23/2022]
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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: 43] [Impact Index Per Article: 4.8] [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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Fernández-Real JM, McClain D, Manco M. Mechanisms Linking Glucose Homeostasis and Iron Metabolism Toward the Onset and Progression of Type 2 Diabetes. Diabetes Care 2015; 38:2169-76. [PMID: 26494808 DOI: 10.2337/dc14-3082] [Citation(s) in RCA: 139] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The bidirectional relationship between iron metabolism and glucose homeostasis is increasingly recognized. Several pathways of iron metabolism are modified according to systemic glucose levels, whereas insulin action and secretion are influenced by changes in relative iron excess. We aimed to update the possible influence of iron on insulin action and secretion and vice versa. RESEARCH DESIGN AND METHODS The mechanisms that link iron metabolism and glucose homeostasis in the main insulin-sensitive tissues and insulin-producing β-cells were revised according to their possible influence on the development of type 2 diabetes (T2D). RESULTS The mechanisms leading to dysmetabolic hyperferritinemia and hepatic overload syndrome were diverse, including diet-induced alterations in iron absorption, modulation of gluconeogenesis, heme-mediated disruption of circadian glucose rhythm, impaired hepcidin secretion and action, and reduced copper availability. Glucose metabolism in adipose tissue seems to be affected by both iron deficiency and excess through interaction with adipocyte differentiation, tissue hyperplasia and hypertrophy, release of adipokines, lipid synthesis, and lipolysis. Reduced heme synthesis and dysregulated iron uptake or export could also be contributing factors affecting glucose metabolism in the senescent muscle, whereas exercise is known to affect iron and glucose status. Finally, iron also seems to modulate β-cells and insulin secretion, although this has been scarcely studied. CONCLUSIONS Iron is increasingly recognized to influence glucose metabolism at multiple levels. Body iron stores should be considered as a potential target for therapy in subjects with T2D or those at risk for developing T2D. Further research is warranted.
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Affiliation(s)
- José Manuel Fernández-Real
- University Hospital of Girona "DrJosepTrueta," Department of Diabetes, Endocrinology and Nutrition, Institut d'Investigació Biomèdica de Girona (IdIBGi), Girona, Spain CIBER Fisiopatología de la Obesidad y Nutrición, Girona, Spain
| | - Donald McClain
- Departments of Biochemistry and Internal Medicine, University of Utah, Salt Lake City, UT Veterans Administration Research Service, Salt Lake City VAHCS, Salt Lake City, UT
| | - Melania Manco
- Bambino Gesù Children's Hospital and Research Institute, Research Unit for Multifactorial Disease, Rome, Italy
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Pretorius E, Bester J, Vermeulen N, Alummoottil S, Soma P, Buys AV, Kell DB. Poorly controlled type 2 diabetes is accompanied by significant morphological and ultrastructural changes in both erythrocytes and in thrombin-generated fibrin: implications for diagnostics. Cardiovasc Diabetol 2015; 14:30. [PMID: 25848817 PMCID: PMC4364097 DOI: 10.1186/s12933-015-0192-5] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 02/06/2015] [Indexed: 01/14/2023] Open
Abstract
We have noted in previous work, in a variety of inflammatory diseases, where iron dysregulation occurs, a strong tendency for erythrocytes to lose their normal discoid shape and to adopt a skewed morphology (as judged by their axial ratios in the light microscope and by their ultrastructure in the SEM). Similarly, the polymerization of fibrinogen, as induced in vitro by added thrombin, leads not to the common ‘spaghetti-like’ structures but to dense matted deposits. Type 2 diabetes is a known inflammatory disease. In the present work, we found that the axial ratio of the erythrocytes of poorly controlled (as suggested by increased HbA1c levels) type 2 diabetics was significantly increased, and that their fibrin morphologies were again highly aberrant. As judged by scanning electron microscopy and in the atomic force microscope, these could be reversed, to some degree, by the addition of the iron chelators deferoxamine (DFO) or deferasirox (DFX). As well as their demonstrated diagnostic significance, these morphological indicators may have prognostic value.
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Abstract
As an essential element, iron plays a central role in many physiological processes, including redox balance, inflammation, energy metabolism, and environment sensing. Perturbations in iron homeostasis are associated with several conditions, including hyperglycemia and diabetes, both of which have been studied in patients and animal models. To clarify the pleiotropic role of iron homeostasis in diabetes development, the early studies on diseases with iron-overload, studies on clinical iron depletion therapies, associations between iron-related genetic polymorphisms and diabetes, and etiological mechanisms underlying iron perturbations-impaired insulin secretion and insulin sensitivity were carefully reviewed and discussed. Hereditary hemochromatosis, transfusion-dependent thalassemia, and excess heme iron intake can increase the risk of developing diabetes. Genetically modified mice and mice fed a high-iron diet present with discrepant phenotypes due to differences in tissue iron distribution. Moreover, several genetic polymorphisms related to iron homeostasis have been associated with the risk of developing diabetes. Tightly controlled iron metabolism is essential for insulin secretion and insulin sensitivity, and iron overload in pancreatic islets alters reactive oxygen species (ROS) generation, as well as hypoxia-inducible factor-1α (HIF-1α) stability and adenosine triphosphate (ATP) synthesis, thereby impairing the function and viability of β-cells. Decreased levels of adiponectin, macrophage-mediated inflammation, and ROS-mediated liver kinase B1 (LKB1)/adenosine monophosphate-activated protein kinase (AMPK) activation can contribute to iron overload-induced insulin resistance, whereas iron deficiency could also participate in obesity-related inflammation, hypoxia, and insulin resistance. Because iron homeostasis is closely correlated with many metabolic processes, future studies are needed in order to elucidate the finely tuned network among iron homeostasis, carbohydrate and lipid metabolism, inflammation, and hypoxia.
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Affiliation(s)
- Xinhui Wang
- Department of Nutrition, Research Center for Nutrition and Health, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang, 310058, China
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Evaluating the Effect of Standard Nutrition-Exercise on Glucose and Lipids Level on Type 2 Diabetic Patients: An Intervention Study. RAZAVI INTERNATIONAL JOURNAL OF MEDICINE 2015. [DOI: 10.5812/rijm.24842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Iron dextran increases hepatic oxidative stress and alters expression of genes related to lipid metabolism contributing to hyperlipidaemia in murine model. BIOMED RESEARCH INTERNATIONAL 2015; 2015:272617. [PMID: 25685776 PMCID: PMC4313725 DOI: 10.1155/2015/272617] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Revised: 09/17/2014] [Accepted: 09/25/2014] [Indexed: 01/28/2023]
Abstract
The objective of this study was to investigate the effects of iron dextran on lipid metabolism and to determine the involvement of oxidative stress. Fischer rats were divided into two groups: the standard group (S), which was fed the AIN-93M diet, and the standard plus iron group (SI), which was fed the same diet but also received iron dextran injections. Serum cholesterol and triacylglycerol levels were higher in the SI group than in the S group. Iron dextran was associated with decreased mRNA levels of pparα, and its downstream gene cpt1a, which is involved in lipid oxidation. Iron dextran also increased mRNA levels of apoB-100, MTP, and L-FABP indicating alterations in lipid secretion. Carbonyl protein and TBARS were consistently higher in the liver of the iron-treated rats. Moreover, a significant positive correlation was found between oxidative stress products, lfabp expression, and iron stores. In addition, a negative correlation was found between pparα expression, TBARS, carbonyl protein, and iron stores. In conclusion, our results suggest that the increase observed in the transport of lipids in the bloodstream and the decreased fatty acid oxidation in rats, which was promoted by iron dextran, might be attributed to increased oxidative stress.
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40
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Kell DB, Pretorius E. Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells. Metallomics 2014; 6:748-73. [PMID: 24549403 DOI: 10.1039/c3mt00347g] [Citation(s) in RCA: 368] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
"Serum ferritin" presents a paradox, as the iron storage protein ferritin is not synthesised in serum yet is to be found there. Serum ferritin is also a well known inflammatory marker, but it is unclear whether serum ferritin reflects or causes inflammation, or whether it is involved in an inflammatory cycle. We argue here that serum ferritin arises from damaged cells, and is thus a marker of cellular damage. The protein in serum ferritin is considered benign, but it has lost (i.e. dumped) most of its normal complement of iron which when unliganded is highly toxic. The facts that serum ferritin levels can correlate with both disease and with body iron stores are thus expected on simple chemical kinetic grounds. Serum ferritin levels also correlate with other phenotypic readouts such as erythrocyte morphology. Overall, this systems approach serves to explain a number of apparent paradoxes of serum ferritin, including (i) why it correlates with biomarkers of cell damage, (ii) why it correlates with biomarkers of hydroxyl radical formation (and oxidative stress) and (iii) therefore why it correlates with the presence and/or severity of numerous diseases. This leads to suggestions for how one might exploit the corollaries of the recognition that serum ferritin levels mainly represent a consequence of cell stress and damage.
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Affiliation(s)
- Douglas B Kell
- School of Chemistry and The Manchester Institute of Biotechnology, The University of Manchester, 131, Princess St, Manchester M1 7DN, Lancs, UK.
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Excess body iron and the risk of type 2 diabetes mellitus: a nested case–control in the PREDIMED (PREvention with MEDiterranean Diet) study. Br J Nutr 2014; 112:1896-904. [PMID: 25322842 DOI: 10.1017/s0007114514002852] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A prospective nested case–control study within the PREvention with MEDiterranean Diet (PREDIMED) was conducted to evaluate the relationship between excess body Fe (measured as serum ferritin (SF), soluble transferrin receptor (sTfR) and sTfR:ferritin ratio) and the risk of type 2 diabetes mellitus (T2DM) in a Mediterranean population at a high risk of CVD, without T2DM at the start of the study. The study contained 459 subjects, 153 with incident T2DM (cases) and 306 without incident T2DM (controls). The follow-up period was for 6·0 (interquartile range 3·9–6·5) years. For each incident diabetic subject, two subjects were selected as controls who were matched broadly for age as well as for sex, intervention group and BMI. We observed a relationship between SF values >257 μg/l in males and >139 μg/l in females and the risk of T2DM, following adjustment in the conditional logistic regression model for high-sensitivity C-reactive protein, fasting glucose and other components of the metabolic syndrome (OR 3·62, 95 % CI 1·32, 19·95; P= 0·022). We also found an association between low sTfR:ferritin ratio levels and the incidence of T2DM (OR 3·02, 95 % CI 1·09, 8·39; P= 0·042), but no association with sTfR (OR 1·29, 95 % CI 0·51, 3·23; P= 0·722). Oxidative stress has been hypothesised to contribute to the development of insulin resistance and β-cell dysfunction, the two key events in the clinical development of T2DM. Following adjustment for other risk factors for T2DM, excess body Fe (measured as SF and sTfR:ferritin ratio) was associated with an increased risk of developing T2DM in a Mediterranean population at a high risk of CVD.
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Han LL, Wang YX, Li J, Zhang XL, Bian C, Wang H, Du S, Suo LN. Gender differences in associations of serum ferritin and diabetes, metabolic syndrome, and obesity in the China Health and Nutrition Survey. Mol Nutr Food Res 2014; 58:2189-95. [PMID: 25163435 DOI: 10.1002/mnfr.201400088] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2014] [Revised: 03/29/2014] [Accepted: 05/11/2014] [Indexed: 12/16/2022]
Abstract
SCOPE This study examines gender differences in associations of serum ferritin and diabetes, metabolic syndrome (MetS), and obesity in Chinese. METHODS AND RESULTS Based on a nationwide, population-based China Health and Nutrition survey this study included 8564 men and women aged 18 years or older. Anthropometric and fasting blood glucose, insulin, lipids, ferritin, and transferrin data were collected. Ferritin concentrations were higher in men than women (201.55 ± 3.6 versus 80.46 ± 1.64 ng/mL, p < 0.0001). The prevalences of MetS, diabetes, obesity, and overweight were 8.05, 8.97, 4.67, 25.88% among men and 14.23, 6.58, 5.81, 26.82% among women, respectively. Elevated ferritin concentrations were associated with higher body mass index, waist circumference, lipids, insulin, glucose (all p < 0.0001). Serum ferritin concentrations increased gradually with aging among women. The inverted U-shaped association between serum ferritin and age was observed among men. Elevated concentration of ferritins were significantly related with higher risk of MetS (p < 0.0001), obesity (p = 0.010), overweight (p < 0.0001), and diabetes (p < 0.0001) among men, but not among women. CONCLUSION There was a gender difference in associations between ferritin and MetS, obesity, and diabetes in Chinese adults. Further evaluations of the variation in gender on these associations are warranted to understand the mechanisms behind gender differences.
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Affiliation(s)
- Ling-ling Han
- Department of Endocrinology and Metabolism, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
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Moreno-Navarrete JM, Ortega F, Moreno M, Ricart W, Fernández-Real JM. Fine-tuned iron availability is essential to achieve optimal adipocyte differentiation and mitochondrial biogenesis. Diabetologia 2014; 57:1957-67. [PMID: 24973963 DOI: 10.1007/s00125-014-3298-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 05/27/2014] [Indexed: 12/21/2022]
Abstract
AIMS/HYPOTHESIS Adipose tissue from obese and insulin-resistant individuals showed altered expression of several iron-related genes in a recent study, suggesting that iron might have an important role in adipogenesis. To investigate this possible role, we aimed to characterise the effects of iron on adipocyte differentiation. METHODS Intracellular iron deficiency was achieved using two independent approaches: deferoxamine administration (20 and 100 μmol/l) and transferrin knockdown (TF KD). The effects of added FeSO4, holo-transferrin and palmitate were studied during human and 3T3-L1 adipocyte differentiation. Finally, the relationship between iron-related and mitochondrial-related genes was investigated in human adipose tissue. RESULTS Most adipose tissue iron-related genes were predominantly expressed in adipocytes compared with stromal vascular cells. Of note, transferrin gene and protein expression increased significantly during adipocyte differentiation. Both deferoxamine and TF KD severely blunted adipocyte differentiation in parallel with increased inflammatory mRNAs. These effects were reversed in a dose-dependent manner after iron supplementation. Palmitate administration also led to a state of functional intracellular iron deficiency, with decreased Tf gene expression and iron uptake during adipocyte differentiation, which was reversed with transferrin co-treatment. On the other hand, iron in excess impaired differentiation, but this antiadipogenic effect was less pronounced than under iron chelation. Of interest, expression of several genes involved in mitochondrial biogenesis occurred in parallel with expression of iron-related genes both during adipogenesis and in human adipose tissue. CONCLUSIONS/INTERPRETATION Precise and fine-tuned iron availability is essential to achieve optimal adipocyte differentiation, possibly modulating adipocyte mitochondrial biogenesis.
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Affiliation(s)
- José María Moreno-Navarrete
- Department of Diabetes, Endocrinology and Nutrition, Institut d'Investigació Biomèdica de Girona (IdIBGi), Hospital of Girona 'Dr Josep Trueta', Girona, Spain
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Variation in macro and trace elements in progression of type 2 diabetes. ScientificWorldJournal 2014; 2014:461591. [PMID: 25162051 PMCID: PMC4138889 DOI: 10.1155/2014/461591] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2014] [Accepted: 06/30/2014] [Indexed: 12/12/2022] Open
Abstract
Macro elements are the minerals of which the body needs more amounts and are more important than any other elements. Trace elements constitute a minute part of the living tissues and have various metabolic characteristics and functions. Trace elements participate in tissue and cellular and subcellular functions; these include immune regulation by humoral and cellular mechanisms, nerve conduction, muscle contractions, membrane potential regulations, and mitochondrial activity and enzyme reactions. The status of micronutrients such as iron and vanadium is higher in type 2 diabetes. The calcium, magnesium, sodium, chromium, cobalt, iodine, iron, selenium, manganese, and zinc seem to be low in type 2 diabetes while elements such as potassium and copper have no effect. In this review, we emphasized the status of macro and trace elements in type 2 diabetes and its advantages or disadvantages; this helps to understand the mechanism, progression, and prevention of type 2 diabetes due to the lack and deficiency of different macro and trace elements.
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Chang JS, Lin SM, Chao JCJ, Chen YC, Wang CM, Chou NH, Pan WH, Bai CH. Serum ferritin contributes to racial or geographic disparities in metabolic syndrome in Taiwan. Public Health Nutr 2014; 17:1498-506. [PMID: 23866264 PMCID: PMC10282300 DOI: 10.1017/s1368980013001596] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2012] [Revised: 04/17/2013] [Accepted: 05/08/2013] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Asians and Pacific Islanders have higher circulating serum ferritin (SF) compared with Caucasians but the clinical significance of this is unclear. There is a higher prevalence of metabolic syndrome (MetS) in Taiwanese Indigenous than Han Chinese. Genetically, Indigenous are related to Austronesians and account for 2 % of Taiwan's population. We tested the hypothesis that accumulation of Fe in the body contributes to the ethnic/racial disparities in MetS in Taiwan. DESIGN A population-based, cross-sectional study. SETTING National Nutrition and Health Survey in Taiwan and Penghu Island. SUBJECTS A total of 2638 healthy adults aged ≥19 years. Three ethnic groups were included. RESULTS Han Chinese and Indigenous people had comparable levels of SF. Austronesia origin was independently associated with MetS (OR = 2·61, 95 % CI 2·02, 3·36). After multiple adjustments, the odds for MetS (OR = 2·49, 95 % CI 1·15, 5·28) was significantly higher among Indigenous people in the highest SF tertile compared with those in the lowest tertile. Hakka and Penghu Islanders yielded the lowest risks (OR = 1·08, 95 % CI 0·44, 2·65 and OR = 1·21, 95 % CI 0·52, 2·78, respectively). Indigenous people in the highest SF tertile had increased risk for abnormal levels of fasting glucose (OR = 2·34, 95 % CI 1·27, 4·29), TAG (OR = 1·94, 95 % CI 1·11, 3·39) and HDL-cholesterol (OR = 2·10, 95 % CI 1·18, 3·73) than those in the lowest SF tertile. CONCLUSIONS Our results raise the possibility that ethnic/racial differences in body Fe store susceptibility may contribute to racial and geographic disparities in MetS.
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Affiliation(s)
- Jung-Su Chang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei City, Taiwan, Republic of China
| | - Shiue-Ming Lin
- Department of Public Health, College of Medicine, Taipei Medical University, 250 Wu-Hsing Street, Taipei City, Taiwan 110, Republic of China
| | - Jane C-J Chao
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei City, Taiwan, Republic of China
| | - Yi-Chun Chen
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei City, Taiwan, Republic of China
| | - Chi-Mei Wang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei City, Taiwan, Republic of China
| | - Ni-Hsin Chou
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei City, Taiwan, Republic of China
| | - Wen-Harn Pan
- Institute of Biomedical Science, Academia Sinica, Nankang, Taipei, Taiwan, Republic of China
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan, Republic of China
| | - Chyi-Huey Bai
- Department of Public Health, College of Medicine, Taipei Medical University, 250 Wu-Hsing Street, Taipei City, Taiwan 110, Republic of China
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Orban E, Schwab S, Thorand B, Huth C. Association of iron indices and type 2 diabetes: a meta-analysis of observational studies. Diabetes Metab Res Rev 2014; 30:372-94. [PMID: 24327370 DOI: 10.1002/dmrr.2506] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 10/29/2013] [Accepted: 10/31/2013] [Indexed: 02/06/2023]
Abstract
The literature on the role of body iron status in the development of type 2 diabetes (T2D) in humans is inconsistent. We aimed to assess the association between iron indices and T2D by a meta-analysis of previously published studies. A systematic literature search was conducted in PubMed and EMBASE. Observational studies on the association of ferritin (when controlled for age and sex), transferrin saturation, soluble transferrin receptor and transferrin with T2D were included. Pooled association estimates were calculated using a random effects model. Forty-six eligible studies were identified. The pooled multivariable adjusted relative risks of T2D in the highest versus lowest quartile of ferritin levels were significantly elevated in both cross-sectional as well as prospective studies and after restriction to inflammation-adjusted studies [overall: 1.67 (95% CI 1.41-1.99)]. The mean difference indicated 43.54 ng/mL (95% CI 28.14-58.94) higher ferritin levels in type 2 diabetic individuals. The relative risk for a transferrin saturation ≥ 50% was 1.59 (95% CI 1.28-1.97), the mean difference was -1.92% [95% CI -2.99-(-0.85)]. Study-specific results of soluble transferrin receptor and transferrin levels were extremely heterogeneous. Ferritin and clinically elevated transferrin saturation were strongly associated with an increased risk of T2D, overall and in prospective studies. Ferritin was also significantly associated after multivariable adjustment including inflammation. Thus, the current evidence hints at a causal effect; however, publication bias and unmeasured confounding cannot be excluded.
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Espinoza A, Morales S, Arredondo M. Effects of acute dietary iron overload in pigs (Sus scrofa) with induced type 2 diabetes mellitus. Biol Trace Elem Res 2014; 158:342-52. [PMID: 24699828 DOI: 10.1007/s12011-014-9944-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2014] [Accepted: 03/12/2014] [Indexed: 01/29/2023]
Abstract
Epidemiological studies have reported an association between high iron (Fe) levels and elevated risk of developing type 2 diabetes mellitus (T2D). It is believed that the formation of Fe-catalyzed hydroxyl radicals may contribute to the development of diabetes. Our goal was to determine the effect of a diet with a high Fe content on type 2 diabetic pigs. Four groups of piglets were studied: (1) control group, basal diet; (2) Fe group, basal diet with 3,000 ppm ferrous sulfate; (3) diabetic group (streptozotocin-induced type 2 diabetes) with basal diet; (4) diabetic/Fe group, diabetic animals/3,000 ppm ferrous sulfate. For 2 months, biochemical and hematological parameters were evaluated. Tissue samples of liver and duodenum were obtained to determine mRNA relative abundance of DMT1, ferroportin (Fpn), ferritin (Fn), hepcidin (Hpc), and transferrin receptor by qRT-PCR. Fe group presented increased levels of hematological (erythrocytes, hematocrit, and hemoglobin) and iron parameters. Diabetic/Fe group showed similar behavior as Fe group but in lesser extent. The relative abundance of different genes in the four study groups yielded a different expression pattern. DMT1 showed a lower expression in the two iron groups compared with control and diabetic animals, and Hpc showed an increased on its expression in Fe and diabetic/Fe groups. Diabetic/Fe group presents greater expression of Fn and Fpn. These results suggest that there is an interaction between Fe nutrition, inflammation, and oxidative stress in the diabetes development.
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MESH Headings
- Analysis of Variance
- Animals
- Blood Glucose/metabolism
- C-Reactive Protein/metabolism
- Cation Transport Proteins/genetics
- Cholesterol/blood
- Cholesterol, LDL/blood
- Diabetes Mellitus, Experimental/blood
- Diabetes Mellitus, Experimental/genetics
- Diabetes Mellitus, Experimental/metabolism
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/metabolism
- Diet
- Duodenum/drug effects
- Duodenum/metabolism
- Ferritins/genetics
- Ferrous Compounds/administration & dosage
- Ferrous Compounds/metabolism
- Gene Expression/drug effects
- Hepcidins/genetics
- Iron Overload/metabolism
- Iron Overload/physiopathology
- Iron, Dietary/administration & dosage
- Iron, Dietary/metabolism
- Liver/drug effects
- Liver/metabolism
- Male
- Receptors, Transferrin/genetics
- Reverse Transcriptase Polymerase Chain Reaction
- Sus scrofa
- Time Factors
- Triglycerides/blood
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Affiliation(s)
- A Espinoza
- Micronutrient laboratory, Nutrition Institute and Food Technology (INTA), University of Chile, El Líbano 5524, Macul, Santiago, Chile
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Abstract
Iron can affect the clinical course of several chronic metabolic diseases such as type 2 diabetes, obesity, non-alcoholic fatty liver disease, and atherosclerosis. Iron overload can affect major tissues involved in glucose and lipid metabolism (pancreatic β cells, liver, muscle, and adipose tissue) and organs affected by chronic diabetic complications. Because iron is a potent pro-oxidant, fine-tuned control mechanisms have evolved to regulate entry, recycling, and loss of body iron. These mechanisms include the interplay of iron with transferrin, ferritin, insulin, and hepcidin, as well as with adipokines and proinflammatory molecules. An imbalance of these homoeostatic mechanisms results in systemic and parenchymal siderosis that contributes to organ damage (such as β-cell dysfunction, fibrosis in liver diseases, and atherosclerotic plaque growth and instability). Conversely, iron depletion can exert beneficial effects in patients with iron overload and even in healthy frequent blood donors. Regular assessment of iron balance should be recommended for patients with chronic metabolic diseases, and further research is needed to produce guidelines for the identification of patients who would benefit from iron depletion.
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Affiliation(s)
- José Manuel Fernández-Real
- Department of Diabetes, Endocrinology and Nutrition, Institut d'Investigació Biomédica de Girona, Hospital de Girona 'Doctor Josep Trueta', Girona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición, Girona, Spain.
| | - Melania Manco
- Research Unit for Multifactorial Disease, Bambino Gesù Children's Hospital and Research Institute, Rome, Italy
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Basuli D, Stevens RG, Torti FM, Torti SV. Epidemiological associations between iron and cardiovascular disease and diabetes. Front Pharmacol 2014; 5:117. [PMID: 24904420 PMCID: PMC4033158 DOI: 10.3389/fphar.2014.00117] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 04/30/2014] [Indexed: 12/11/2022] Open
Abstract
Disruptions in iron homeostasis are linked to a broad spectrum of chronic conditions including cardiovascular, malignant, metabolic, and neurodegenerative disease. Evidence supporting this contention derives from a variety of analytical approaches, ranging from molecular to population-based studies. This review focuses on key epidemiological studies that assess the relationship between body iron status and chronic diseases, with particular emphasis on atherosclerosis ,metabolic syndrome and diabetes. Multiple surrogates have been used to measure body iron status, including serum ferritin, transferrin saturation, serum iron, and dietary iron intake. The lack of a uniform and standardized means of assessing body iron status has limited the precision of epidemiological associations. Intervention studies using depletion of iron to alter risk have been conducted. Genetic and molecular techniques have helped to explicate the biochemistry of iron metabolism at the molecular level. Plausible explanations for how iron contributes to the pathogenesis of these chronic diseases are beginning to be elucidated. Most evidence supports the hypothesis that excess iron contributes to chronic disease by fostering excess production of free radicals. Overall, epidemiological studies, reinforced by basic science experiments, provide a strong line of evidence supporting the association between iron and elevated risk of cardiovascular disease and diabetes. In this narrative review we attempt to condense the information from existing literature on this topic.
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Affiliation(s)
- Debargha Basuli
- Molecular Biology and Biophysicis, University of Connecticut Health Center, Farmington CT, USA
| | - Richard G Stevens
- Division of Epidemiology and Biostatistics, Department of Community Medicine and Health Care, University of Connecticut Health Center, Farmington CT, USA
| | - Frank M Torti
- Internal Medicine, University of Connecticut Health Center, Farmington CT, USA
| | - Suzy V Torti
- Molecular Biology and Biophysicis, University of Connecticut Health Center, Farmington CT, USA
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Moreno-Navarrete JM, Novelle MG, Catalán V, Ortega F, Moreno M, Gomez-Ambrosi J, Xifra G, Serrano M, Guerra E, Ricart W, Frühbeck G, Diéguez C, Fernández-Real JM. Insulin resistance modulates iron-related proteins in adipose tissue. Diabetes Care 2014; 37:1092-100. [PMID: 24496804 DOI: 10.2337/dc13-1602] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Circulating markers of iron overload are associated with insulin resistance. Less is known about the impact of iron overload on adipose tissue (AT). We hypothesized that gene expression markers of iron metabolism in AT could be associated with insulin action. RESEARCH DESIGN AND METHODS The AT expression of ferroportin (SLC40A1), transferrin (TF), TF receptor (TFRC), ferritin (FT) heavy polypeptide 1 (FTH1), and FT light polypeptide (FTL) was analyzed cross-sectionally in three independent cohorts and also after weight loss-induced changes in insulin sensitivity (clamp M value) in an independent fourth cohort. RESULTS In human AT, TF mRNA and protein levels were decreased with obesity and insulin resistance in the three cohorts and were positively associated with adipogenic mRNAs and insulin action. Otherwise, FTL mRNA and protein and SLC40A1 transcripts were positively associated with BMI and negatively linked to adipogenic genes and insulin action. Bariatric surgery-induced weight loss led to increased TF and decreased TFRC, FTH1, FTL, and SLC40A1 in subcutaneous AT in parallel to improved insulin action. CONCLUSIONS These results suggest that iron overload impacts on AT in association with insulin resistance.
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