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Wawer AA, Jennings A, Fairweather-Tait SJ. Iron status in the elderly: A review of recent evidence. Mech Ageing Dev 2018; 175:55-73. [PMID: 30040993 DOI: 10.1016/j.mad.2018.07.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 06/25/2018] [Accepted: 07/12/2018] [Indexed: 12/22/2022]
Abstract
A comprehensive literature review of iron status in the elderly was undertaken in order to update a previous review (Fairweather-Tait et al, 2014); 138 summarised papers describe research on the magnitude of the problem, aetiology and age-related physiological changes that may affect iron status, novel strategies for assessing iron status with concurrent health conditions, hepcidin, lifestyle factors, iron supplements, iron status and health outcomes (bone mineral density, frailty, inflammatory bowel disease, kidney failure, cancer, cardiovascular, and neurodegenerative diseases). Each section of this review concludes with key points from the relevant papers. The overall findings were that disturbed iron metabolism plays a major role in a large number of conditions associated with old age. Correction of iron deficiency/overload may improve disease prognosis, but diagnosis of iron deficiency requires appropriate cut-offs for biomarkers of iron status in elderly men and women to be agreed. Iron deficiency (with or without anemia), anemia of inflammation, and anemia of chronic disease are all widespread in the elderly and, once identified, should be investigated further as they are often indicative of underlying disease. Management options should be reviewed and updated, and novel therapies, which show potential for treating anemia of inflammation or chronic disease, should be considered.
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Affiliation(s)
- Anna A Wawer
- Discipline of Medicine, University of Adelaide, The Queen Elizabeth Hospital and the Basil Hetzel Institute for Translational Health Research, Woodville, 5011, South Australia, Australia
| | - Amy Jennings
- Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK
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Mills NT, Maier R, Whitfield JB, Wright MJ, Colodro-Conde L, Byrne EM, Scott JG, Byrne GJ, Hansell NK, Vinkhuyzen AAE, CouvyDuchesne B, Montgomery GW, Henders AK, Martin NG, Wray NR, Benyamin B. Investigating the relationship between iron and depression. J Psychiatr Res 2017; 94:148-155. [PMID: 28715705 DOI: 10.1016/j.jpsychires.2017.07.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 06/03/2017] [Accepted: 07/07/2017] [Indexed: 12/22/2022]
Abstract
Lower levels of circulating iron have been associated with depression. Our objective was to investigate the phenotypic and genetic relationship between measures of circulating levels of iron (serum iron, transferrin, transferrin saturation, and ferritin) and depressive symptoms. Data were available from ongoing studies at QIMR Berghofer Medical Research Institute (QIMRB), including twin adolescents (mean age 15.1 years, standard deviation (SD) 3.2 years), and twin adults (mean age 23.2 years, SD 2.2 years). In the adolescent cohort, there were 3416 participants from 1688 families. In the adult cohort there were 9035 participants from 4533 families. We estimated heritabilities of, and phenotypic and genetic correlations between, traits. We conducted analyses that linked results from published large-scale genome-wide association studies (including iron and Major Depressive Disorder) with our study samples using single SNP and multi-SNP genetic risk score analyses, and LD score regression analyses. In both cohorts, measures of iron, transferrin, transferrin saturation, and log 10 of ferritin (L10Fer) were all highly heritable, while depressive measures were moderately heritable. In adolescents, depression measures were higher in those in the middle 10th versus top 10th percentile of transferrin saturation measures (p = 0.002). Genetic profile risk scores of the iron measures were not significantly associated with depression in study participants. LD score analyses showed no significant genetic relationship between iron and depression. Genetic factors strongly influence iron measures in adolescents and adults. Using several different strategies we find no evidence for a genetic contribution to the relationship between blood measures of iron and measures of depression.
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Affiliation(s)
- Natalie T Mills
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia; Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, 5000, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia.
| | - Robert Maier
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia
| | - Lucia Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Enda M Byrne
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - James G Scott
- The University of Queensland, UQ Centre for Clinical Research, Herston, 4029, Australia; Metro North Mental Health, Royal Brisbane and Women's Hospital, Brisbane, 4006, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Brisbane, 4076, Australia
| | - Gerard J Byrne
- Academic Discipline of Psychiatry, School of Medicine, The University of Queensland, Brisbane, Australia
| | - Narelle K Hansell
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia
| | - Anna A E Vinkhuyzen
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - Baptiste CouvyDuchesne
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - Grant W Montgomery
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - Anjali K Henders
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Naomi R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
| | - Beben Benyamin
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Australia
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Erytrocyte-related phenotypes and genetic susceptibility to thrombosis. Blood Cells Mol Dis 2016; 59:44-8. [DOI: 10.1016/j.bcmd.2016.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 04/12/2016] [Indexed: 11/20/2022]
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Koller DL, Imel EA, Lai D, Padgett LR, Acton D, Gray A, Peacock M, Econs MJ, Foroud T. Genome-wide association study of serum iron phenotypes in premenopausal women of European descent. Blood Cells Mol Dis 2016; 57:50-3. [PMID: 26852655 PMCID: PMC4746500 DOI: 10.1016/j.bcmd.2015.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 12/02/2015] [Indexed: 10/22/2022]
Abstract
A genome-wide association study was performed on 1130 premenopausal women to detect common variants associated with three serum iron-related phenotypes. Total iron binding capacity was strongly associated (p=10(-14)) with variants in and near the TF gene (transferrin), the serum iron transporting protein, and with variants in HFE (p=4×10(-7)), which encodes the human hemochromatosis gene. Association was also detected between percent iron saturation (p=10(-8)) and variants in the chromosome 6 region containing both HFE and SLC17A2, which encodes a phosphate transport protein. No significant associations were detected with serum iron, but variants in HFE were suggestive (p=10(-6)). Our results corroborate prior studies in older subjects and demonstrate that the association of these genetic variants with iron phenotypes can be detected in premenopausal women.
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Affiliation(s)
- Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Erik A Imel
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Leah R Padgett
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Dena Acton
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Amie Gray
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Munro Peacock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Michael J Econs
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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Ye K, Cao C, Lin X, O'Brien KO, Gu Z. Natural selection on HFE in Asian populations contributes to enhanced non-heme iron absorption. BMC Genet 2015; 16:61. [PMID: 26054392 PMCID: PMC4460683 DOI: 10.1186/s12863-015-0223-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 06/01/2015] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND HFE, a major regulator of iron (Fe) homeostasis, has been suggested to be under positive selection in both European and Asian populations. While the genetic variant under selection in Europeans (a non-synonymous mutation, C282Y) has been relatively well-studied, the adaptive variant in Asians and its functional consequences are still unknown. Identifying the adaptive HFE variants in Asians will not only elucidate the evolutionary history and the genetic basis of population difference in Fe status, but also assist the future practice of genome-informed dietary recommendation. RESULTS Using data from the International HapMap Project, we confirmed the signatures of positive selection on HFE in Asian populations and identified a candidate adaptive haplotype that is common in Asians (52.35-54.71%) but rare in Europeans (5.98%) and Africans (4.35%). The T allele at tag SNP rs9366637 (C/T) captured 95.8% of this Asian-common haplotype. A significantly reduced HFE expression was observed in individuals carrying T/T at rs9366637 compared to C/C and C/T, indicating a possible role of gene regulation in adaptation. We recruited 57 women of Asian descent and measured Fe absorption using stable isotopes in those homozygous at rs9366637. We observed a 22% higher absorption in women homozygous for the Asian-common haplotype (T/T) compared to the control genotype (C/C). Additionally, compared with a group of age-matched Caucasian women, Asian women exhibited significantly elevated Fe absorption. CONCLUSIONS Our results indicate parallel adaptation of HFE gene in Europeans and Asians with different genetic variants. Moreover, natural selection on HFE may have contributed to elevated Fe absorption in Asians. This study regarding population differences in Fe homeostasis has significant medical impact as high Fe level has been linked to an increased disease risk of metabolic syndromes.
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Affiliation(s)
- Kaixiong Ye
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
| | - Chang Cao
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Shanghai, China.
| | | | - Zhenglong Gu
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
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Tang Q, Liu Z, Tang Y, Tan A, Gao Y, Lu Z, Wang Q, Chen Y, Wu C, Zhang H, Yang X, Mo Z. High serum ferritin level is an independent risk factor for metabolic syndrome in a Chinese male cohort population. Diabetol Metab Syndr 2015; 7:11. [PMID: 25741386 PMCID: PMC4349689 DOI: 10.1186/s13098-015-0004-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2014] [Accepted: 02/02/2015] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Elevated serum ferritin levels have been reported to contribute to metabolic syndrome (MetS). We examined the association of serum ferritin levels with the development of MetS in a representative sample of Chinese male adult population. METHOD The data came from the 2009-2013 Fangchenggang Area Males Health and Examination Survey (FAMHES). We combined a cross-sectional study of 2417 males and a longitudinal study of 857 males who participated in the FAMHES. RESULT The serum ferritin level of MetS was higher than that of nonMetS (median and percentiles 25-75: 447.4 (294.1-612.4) vs. 302.4 (215.0-435.8) ng/ml, p < 0.01). A positive correlation between ferritin concentrations and blood pressure (Systolic BP: R = 0.110, Diastolic BP: R = 0.158), waist circumference (R = 0.333), fasting glucose (R = 0.089), triglyceride (R = 0.315) and low high-density lipoprotein cholesterol (R = 0.130) was significant (all p < 0.001). Compared with the level of ferritin in the group with no MetS component, the group with all five MetS components had a higher ferritin level (554.7 (340.1-606.4) vs. 274.2 (198.2-384.4) ng/ml). The odd radio (OR) was higher for MetS in the highest ferritin quartile (OR = 2.29, 95% CI = 1.47-3.54) compared with the lowest ferritin quartile after adjustment for multi-factors. After 4-year follow up, 79 subjects newly diagnosed with MetS in 857 cohort male participants in 2013. Compared with the lowest ferritin quartile, the RR of the highest ferritin quartile was 2.55 (95% CI = 1.30-5.00) after multiple adjustments (p < 0.01). CONCLUSION Our findings confirm that the serum ferritin level is associated with the independent components of MetS, and elevated ferritin level is an independent risk factor for MetS development in the Chinese male population during the 4-year follow-up period.
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Affiliation(s)
- Qin Tang
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
| | - Zhenfang Liu
- />Hematology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi China
| | - Yan Tang
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
| | - Aihua Tan
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Department of Chemotherapy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Yong Gao
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Zheng Lu
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Qiuyan Wang
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
| | - Yingchun Chen
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
| | - Chunlei Wu
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Haiying Zhang
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Xiaobo Yang
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Zengnan Mo
- />Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021 China
- />Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021 China
- />Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021 China
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