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Smithiseth K, Leurcharusmee P, Sawaddiruk P, Chattipakorn N, Chattipakorn S. Unraveling the link between magnesium and diabetic neuropathy: Evidence from in vitro to clinical studies. Nutr Res 2025; 135:13-31. [PMID: 39891959 DOI: 10.1016/j.nutres.2025.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Revised: 01/07/2025] [Accepted: 01/07/2025] [Indexed: 02/03/2025]
Abstract
Diabetic neuropathy (DN) is one of the major complications of diabetes and the most common cause of neuropathic pain. Although the underlying pathological mechanisms remain unclear, several studies have produced conflicting results regarding the link between magnesium (Mg) concentration and DN. This ambiguity raises questions about the potential benefits of Mg supplementation in individuals with DN. Therefore, this comprehensive review summarizes and discusses the evidence from clinical, in vitro, and in vivo studies on the association between Mg and DN. Several findings indicate that Mg depletion is linked to the presence of neuropathy in diabetic patients. Additionally, low Mg concentration may contribute to the onset or worsening of DN by promoting axonal degeneration through various pathways. Furthermore, multiple studies have shown that Mg supplementation can have neuroprotective effects. These findings suggest potential as an alternative or complementary therapy for preventing and treating DN in the future.
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Affiliation(s)
- Kannika Smithiseth
- Department of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | - Passakorn Sawaddiruk
- Department of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nipon Chattipakorn
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Siriporn Chattipakorn
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
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Lin Y, Zhang Y, Shen X, Weng Z, Huang L, Zhao F, Yan S. Body Composition Changes Impact Islet β-Cell Function in Patients With Type 2 Diabetes Mellitus. J Lipids 2024; 2024:4986998. [PMID: 39376578 PMCID: PMC11458290 DOI: 10.1155/2024/4986998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 09/18/2024] [Indexed: 10/09/2024] Open
Abstract
Background: Identifying β-cells dysregulation in type 2 diabetes mellitus (T2DM) is crucial. Weight fluctuations are frequently observed during diabetes treatment. However, the relationship between body composition changes and islet β-cell function in individuals with T2DM remains insufficiently investigated. Methods: This retrospective longitudinal study encompassed a cohort of 775 T2DM patients, who underwent body composition measuring using dual-energy X-ray absorptiometry (DEXA) and followed up for a median of 2.29 years. Key metrics included body mass index (BMI), fat mass index (FMI), trunk fat mass index (TFMI), muscle mass index (MMI), appendicular skeletal muscle mass index (ASMI), muscle/fat mass ratio (M/F), and the appendicular skeletal muscle mass/trunk fat mass ratio (A/T) were then categorized and grouped. Insulin, C-peptide, and glucose levels were assessed concurrently following a glucose load. β-cell function included insulin resistance (HOMA-IR), insulin sensitivity (Matsuda index (MI)), and insulin secretion evaluated by HOMA-β and C-peptidogenic index (CGI). Results: Although no significant changes in BMI were observed, patients with T2DM at readmission exhibited higher FMI, TFMI, and ASMI, as well as elevated levels of HOMA-IR, MI, and CGI compared to baseline measurements. And lower MI, higher levels of CGI, and HOMA-IR were observed in BMI increased group. Univariate correlation analysis revealed a negative association between changes in BMI (ΔBMI) and ΔMI, while positive associations were observed in both ΔHOMA-IR and ΔCGI. Among body composition indexes, ΔFMI exhibited the strongest correlation with ΔHOMA-IR (r = 0.255, p < 0.001), and ΔASMI was positively associated with ΔMI and ΔCGI (r = 0.131 and 0.194, respectively). Moreover, increased levels of BMI and FMI were associated with a greater risk of progressive insulin resistance compared to the decreased, whereas the trend was converse in ASMI and A/T. Conclusions: Increased FMI may partially contribute to the deterioration of insulin resistance, while increased ASMI is associated with improved insulin sensitivity and secretion. Maintaining an appropriate BMI and muscle/fat ratio is conductive to prevent the progression of insulin resistance in patients with T2DM.
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Affiliation(s)
- Yuxi Lin
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Yongze Zhang
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Ximei Shen
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Zhiyan Weng
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Lingning Huang
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Fengying Zhao
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
| | - Sunjie Yan
- Department of Endocrinologythe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Department of EndocrinologyNational Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical University, Fuzhou 350212, China
- Clinical Research Center for Metabolic Diseases of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolismthe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Diabetes Research Institute of Fujian Provincethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
- Metabolic Diseases Research Institutethe First Affiliated HospitalFujian Medical University, Fuzhou 350005, China
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Huang S, Ge Y, Li Y, Cui N, Tan L, Guo S, Wang S, Hao L, Lei G, Yang X. Magnesium Status, Genetic Variants of Magnesium-Related Ion Channel Transient Receptor Potential Membrane Melastatin 6 (TRPM6) and the Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women: A Nested Case-Control Study. Mol Nutr Food Res 2023; 67:e2200835. [PMID: 37759402 DOI: 10.1002/mnfr.202200835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/10/2023] [Indexed: 09/29/2023]
Abstract
SCOPE Magnesium plays an important role in regulating glucose metabolism. The study attempts to explore association between magnesium status and single nucleotide polymorphisms (SNPs) of gene involved in magnesium absorption-transient receptor potential membrane melastatin 6 (TRPM6) and gestational diabetes mellitus (GDM) risk METHODS AND RESULTS: A nested case-control study including 170 GDM cases and matched 340 controls is conducted based on Tongji Birth Cohort. Dietary, serum, and urine magnesium are evaluated before the diagnosis of GDM. Compared to the lowest tertile, women in the highest tertile of serum magnesium are at a lower risk of GDM (adjusted odds ratio [aOR] 0.42, 95% confidence intervals [CI] 0.21-0.84). Serum magnesium is inversely associated with insulin and homeostatic model assessment of insulin resistance (β = -0.05, p = 0.002; β = -0.04, p = 0.001, respectively). The aOR for GDM in carriers of the CT or CC genotypes of TRPM6 rs2274924 compared with carriers of the TT genotype is 2.76 (95% CI 1.78-4.26). Dietary magnesium is positively associated with serum magnesium (β = 0.02, p = 0.004), but not with GDM risk. CONCLUSION Serum magnesium and the TRPM6 rs2274924 polymorphism are associated with the risk of GDM.
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Affiliation(s)
- Shanshan Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Yanyan Ge
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Ningning Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Le Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Shu Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Shanshan Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Gang Lei
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, 26 Shengli Street, Wuhan, Hubei, 430014, P. R. China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, China
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Xu M, Cai J, Mo X, Liu Q, Zhang J, Wei Y, Liu S, Lin Y, Huang S, Mo C, Mai T, Tan D, Zhang Z, Qin J. Association of Dietary and Plasma Magnesium with Glycaemic Markers in a Chinese Population. Biol Trace Elem Res 2023; 201:549-558. [PMID: 35294745 DOI: 10.1007/s12011-022-03172-z] [Citation(s) in RCA: 2] [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: 01/13/2022] [Accepted: 02/18/2022] [Indexed: 01/21/2023]
Abstract
Certain metals play a role in the pathogenesis of diabetes. This study aimed to investigate the potential association of plasma magnesium (Mg) and dietary intake of Mg with glycaemic markers. A cross-sectional study was conducted on 2373 subjects in Guangxi, China. Dietary Mg was obtained through a food frequency questionnaire containing 109 common foods. Plasma Mg concentration was determined by inductively coupled plasma mass spectrometry. Multiple linear regression combined with multivariable restricted cubic spline (RCS) functions was applied to evaluate the association of plasma Mg and dietary Mg with haemoglobin A1c (HbA1c) and fasting plasma glucose (FPG). In linear regression, dietary Mg was significantly associated with FPG in the overall population (β = - 0.087, P < 0.05) and in women (β = - 0.098, P < 0.05). Plasma Mg was significantly associated with FPG in the overall population (β = - 0.096, P < 0.05) and in men (β = - 0.110, P < 0.05) and women (β = - 0.088, P < 0.05). In the RCS model, no non-linear association was found between dietary and plasma Mg and HbA1c levels. Dietary and plasma Mg are significantly negatively associated with fasting glucose.
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Affiliation(s)
- Min Xu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jiansheng Cai
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Xiaoting Mo
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qiumei Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Junling Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yanfei Wei
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Shuzhen Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yinxia Lin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Shenxiang Huang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Chunbao Mo
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Tingyu Mai
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Dechan Tan
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Zhiyong Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, 541004, Guangxi, China.
| | - Jian Qin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Yang J, Zhang H, Cao Y, Shan X, Feng J, Lu J, Cai S, Zhao L, Yang L. The Association of Dietary Magnesium and Prediabetes in Childbearing Chinese Women: Results from China Nutrition and Health Surveillance (2015-2017). Nutrients 2022; 14:nu14214580. [PMID: 36364842 PMCID: PMC9653775 DOI: 10.3390/nu14214580] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/27/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
Although several studies have shown the relationship between magnesium and diabetes, there are few studies regarding the association between magnesium status and prediabetes. This study aimed to examine the association between dietary magnesium intake and the risk of prediabetes in childbearing Chinese women (18−44 years). A total of 1981 participants without diabetes were randomly selected from China Nutrition and Health Surveillance (CNHS) in 2015 by considering the regional types and monitoring points, including 1420 normal fasting glucose (NFG) people and 561 prediabetes cases. The Food Frequency Questionnaire (FFQ) and inductively coupled plasma mass spectrometry (ICP-MS) measured dietary and plasma magnesium. The results of this study showed that dietary magnesium intake was inversely associated with fasting plasma glucose. For every 100 mg of magnesium intake, there was a 0.052 mmol/L (95% CI 0.019, 0.085) reduction in fasting plasma glucose (p = 0.002). Compared with the lowest intake quartile (<350.10 mg/day), the third and fourth quartiles (≥405.41 mg/day) reduced the odds risk of prediabetes (OR = 0.63, 95% CI 0.46, 0.88, p = 0.020) by approximately 37%. The dose-response curves for the association between magnesium intake and prediabetes followed an L shape. The odds ratio of prediabetes decreased significantly with increasing dietary Mg intake at less than 410 mg/day, and then the curve leveled off or slightly increased. This study found a negative association between dietary magnesium intake and prediabetes in childbearing Chinese women. The risk of prediabetes was reduced with increasing dietary magnesium intake, and the threshold value was 410 mg/day. This suggests that childbearing women also need to pay attention to their magnesium status.
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Association between magnesium concentrations and prediabetes: a systematic review and meta-analysis. Sci Rep 2021; 11:24388. [PMID: 34937856 PMCID: PMC8695575 DOI: 10.1038/s41598-021-03915-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/13/2021] [Indexed: 01/10/2023] Open
Abstract
Studies on the association between serum magnesium level and prediabetes yielded inconsistent results. Therefore, the present meta-analysis was designed to examine the association between serum magnesium levels and prediabetes. Online databases including PubMed, Embase, Scopus and Google Scholar were searched up to October, 2020. A total of 10 studies that reported mean and standard deviation (SD) of magnesium levels in prediabetes and healthy control group were identified. Random effects models were used to pool weighted mean differences (WMDs) of serum magnesium levels. Pooled-analysis showed that subjects with prediabetes had significantly lower serum magnesium levels compared with healthy controls (WMD = - 0.07 mmol/L; 95% CI - 0.09, - 0.05 mmol/L, P < 0.001). A significant heterogeneity observed across included studies (I2 = 95.6%, P < 0.001). However, different subgroup analysis did not detect the potential source of observed heterogeneity. Withdrawal of each individual study had no effect on the overall results. The present meta-analysis showed that circulating magnesium levels in people with prediabetes were significantly lower than healthy controls, confirming that magnesium deficiency may play a role in development and progression of prediabetes. Further studies with larger sample size and robust design are warranted to confirm present results.
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Yang Q, Zhang M, Sun P, Li Y, Xu H, Wang K, Shen H, Ban B, Liu F. Cre/CysC ratio may predict muscle composition and is associated with glucose disposal ability and macrovascular disease in patients with type 2 diabetes. BMJ Open Diabetes Res Care 2021; 9:9/2/e002430. [PMID: 34732398 PMCID: PMC8572382 DOI: 10.1136/bmjdrc-2021-002430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/07/2021] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Since the ratio of creatinine to cystatin C (Cre/CysC) can reflect muscle volume, it has been proven to be a predictor of sarcopenia in patients with or without diabetes. Here, we investigated the predictive value of Cre/CysC for the skeletal muscle composition and its correlations with glucose disposal ability and diabetic complications in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS The skeletal muscle index (SMI) and mean skeletal muscle attenuation (MMA) values of 193 patients with type 2 diabetes were obtained through analyses of CT images at the lumbar 3 level. RESULTS Serum Cre/CysC was significantly correlated with both the SMI (r=0.375, p<0.001) and MMA (r=0.378, p<0.001). Multiple stepwise linear regression analysis demonstrated that Cre/CysC was the only biochemical predictor of the SMI (β=0.48 (95% CI 0.02 to 0.94)) and MMA (β=0.57 (95% CI 0.14 to 1.01)). Furthermore, the fat mass index (FMI) was significantly associated with the MMA (r=-0.481, p<0.001) but not the SMI (r=0.101, p=0.164). In the diabetic complications analysis, Cre/CysC was significantly lower in patients with cardiovascular disease (95% CI (-1.47 to -0.22), p=0.008) and lower extremity arterial disease (95% CI (-1.44 to -0.29), p=0.004). Moreover, in the 100 g steamed bun test, Cre/CysC was significantly correlated with glucose levels at 60 min (r=-0.162, p=0.045), 120 min (r=-0.287, p<0.001) and 180 min (r=-0.313, p<0.001). CONCLUSIONS Cre/CysC may be a valuable predictor of skeletal muscle composition in type 2 diabetes. Patients with a higher Cre/CysC may have a better ability to dispose of postprandial glucose and are at a lower risk of macrovascular disease.
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Affiliation(s)
- Qing Yang
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Mei Zhang
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Peng Sun
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yanying Li
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Huichao Xu
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Kejun Wang
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Hongshan Shen
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Bo Ban
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Fupeng Liu
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
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Lin Y, Zhang Y, Shen X, Huang L, Yan S. Influence of glucose, insulin fluctuation, and glycosylated hemoglobin on the outcome of sarcopenia in patients with type 2 diabetes mellitus. J Diabetes Complications 2021; 35:107926. [PMID: 33865681 DOI: 10.1016/j.jdiacomp.2021.107926] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/11/2021] [Accepted: 03/28/2021] [Indexed: 02/07/2023]
Abstract
AIMS To explore the effects of glucose, insulin, and glycosylated hemoglobin (HbA1c) levels on the outcome of sarcopenia in patients with type 2 diabetes mellitus (T2DM). METHODS A total of 482 T2DM patients were enrolled in the follow-up study. The median follow-up time was 36 months. Muscle mass and HbA1c were measured in all participants. And glucose, C-peptide and insulin levels were measured at 0 min, 30 min, and 120 min after glucose load. We subsequently analyzed daily glucose fluctuations and islet function before and after readmission as well as the influence of their changes on sarcopenia outcome. RESULTS After glucose load, incident sarcopenia patients showed greater glucose fluctuations and worse islet function than did non-sarcopenia patients. As HbA1c and standard deviation of blood glucose (SDBG) increased, readmitted non-sarcopenia patients showed a significantly increased odds ratio of incident sarcopenia; however, only patients with higher quartiles were statistically significant. Increased ΔAUC-C-peptide reduced the risk of incident sarcopenia (P < 0.05). CONCLUSIONS Patients with incident sarcopenia have poor glucose regulation and insufficient insulin secretion. Furthermore, as HbA1c and SDBG increased, AUC-C-peptide and AUC-insulin decreased in readmitted non-sarcopenia patients, the risk of incident sarcopenia increased.
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Affiliation(s)
- Yuxi Lin
- Department of Endocrinology, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Diabetes Research Institute of Fujian Province, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Metabolic Diseases Research Institute, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Fujian Province Clinical Research Center for Metabolic Diseases, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China
| | - Yongze Zhang
- Department of Endocrinology, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Diabetes Research Institute of Fujian Province, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Metabolic Diseases Research Institute, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Fujian Province Clinical Research Center for Metabolic Diseases, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China
| | - Ximei Shen
- Department of Endocrinology, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Diabetes Research Institute of Fujian Province, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Metabolic Diseases Research Institute, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Fujian Province Clinical Research Center for Metabolic Diseases, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China
| | - Lingning Huang
- Department of Endocrinology, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Diabetes Research Institute of Fujian Province, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Metabolic Diseases Research Institute, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Fujian Province Clinical Research Center for Metabolic Diseases, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China
| | - Sunjie Yan
- Department of Endocrinology, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Diabetes Research Institute of Fujian Province, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Metabolic Diseases Research Institute, the First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China; Fujian Province Clinical Research Center for Metabolic Diseases, 20 Cha Zhong Road, Fuzhou, Fujian 350005, China.
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9
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Magnesium intake, insulin resistance and markers of endothelial function among women. Public Health Nutr 2021; 24:5777-5785. [PMID: 33719988 DOI: 10.1017/s1368980021001063] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE We investigated the association of dietary Mg intake with insulin resistance and markers of endothelial function among Iranian women. DESIGN A cross-sectional study. SETTING Usual dietary intakes were assessed using a validated FFQ. Dietary Mg intake was calculated by summing up the amount of Mg in all foods. A fasting blood sample was taken to measure serum concentrations of glycemic indices (fasting plasma glucose and insulin) and endothelial function markers (E-selectin, soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1). Insulin resistance and sensitivity were estimated using the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR), Homeostasis Model Assessment β-cell function (HOMA-β) and quantitative insulin sensitivity check index (QUICKI). PARTICIPANTS Iranian female nurses (n 345) selected by a multistage cluster random sampling method. RESULTS The Mg intake across energy-adjusted quartiles was 205 (se 7), 221·4 (se 8), 254·3 (se 7) and 355·2 (se 9) mg/d, respectively. After adjustments for potential confounders, QUICKI level was significantly different across quartiles of Mg intake (Q1: 0·34 (se 0·02), Q2: 0·36 (se 0·01), Q3: 0·40 (se 0·01), and Q4: 0·39 (se 0·02), P = 0·02); however, this association disappeared after considering markers of endothelial function, indicating that this relation might be mediated through endothelial dysfunction. After controlling for all potential confounders, Mg intake was inversely, but not significantly, associated with serum concentrations of sICAM (Q1: 239 (se 17), Q2: 214 (se 12), Q3: 196 (se 12), and Q4: 195 (se 17), P = 0·29). There was no other significant association between dietary Mg intake and other indicators of glucose homoeostasis or endothelial markers. CONCLUSIONS Higher dietary Mg intake was associated with better insulin sensitivity in Iranian females. This linkage was mediated through reduced endothelial dysfunction.
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Ge X, Yang A, Huang S, Luo X, Hou Q, Huang L, Zhou Y, Li D, Lv Y, Li L, Cheng H, Chen X, Zan G, Tan Y, Liu C, Xiao L, Zou Y, Yang X. Sex-specific associations of plasma metals and metal mixtures with glucose metabolism: An occupational population-based study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 760:143906. [PMID: 33341635 DOI: 10.1016/j.scitotenv.2020.143906] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/17/2020] [Accepted: 11/18/2020] [Indexed: 06/12/2023]
Abstract
Studies with multi-pollutant approach on the relationships between multiple metals and fasting plasma glucose (FPG) are limited. Few studies are available on the potential sex-specific associations between metal exposures and glucose metabolism. We explored the associations between 22 plasma metals and FPG level among the 769 participants from the manganese-exposed workers healthy cohort in China. We applied a sparse partial least squares (sPLS) regression followed by ordinary least-squares regression to evaluate multi-pollutant association. Bayesian kernel machine regression (BKMR) model was used to deal with metal mixtures and evaluate their joint effects on FPG level. In the sPLS model, negative associations on FPG levels were observed for plasma iron (belta = -0.066), cobalt (belta = -0.075), barium (belta = -0.109), and positive associations for strontium (belta = 0.082), and selenium (belta = 0.057) in men, which overlapped with the results among the overall participants. Among women, plasma copper (belta = 0.112) and antimony (belta = 0.137) were positively associated with elevated FPG level. Plasma magnesium was negatively associated with FPG level in both sexes (belta = -0.071 in men and belta = -0.144 in women). The results of overlapped for plasma magnesium was selected as the significant contributor to decreasing FPG level in the multi-pollutant, single-metal, and multi-metal models. BKMR model showed a significantly negative over-all effect of six metal mixtures (magnesium, iron, cobalt, selenium, strontium and barium) on FPG level among the overall participants from all the metals fixed at 50th percentile. In summary, our findings underline the probable role of metals in glucose homeostasis with potential sex-dependent heterogeneities, and suggest more researches are needed to explore the sex-specific associations of metal exposures with risk of diabetes.
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Affiliation(s)
- Xiaoting Ge
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Aimin Yang
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, SAR 999077, China
| | - Sifang Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Xiaoyu Luo
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Qingzhi Hou
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Lulu Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yanting Zhou
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Defu Li
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yingnan Lv
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Longman Li
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Hong Cheng
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Xiang Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Gaohui Zan
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yanli Tan
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Lili Xiao
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yunfeng Zou
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Xiaobo Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi, China.
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11
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Wu Y, Datta S, Little BB, Kong M. Magnesium dietary intake and physical activity in Type 2 diabetes by gender in White, African-American and Mexican American: NHANES 2011-2014. Endocrinol Diabetes Metab 2021; 4:e00203. [PMID: 33532626 PMCID: PMC7831210 DOI: 10.1002/edm2.203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/17/2020] [Accepted: 10/24/2020] [Indexed: 01/03/2023] Open
Abstract
Aims To analyse the causal relationships of nutrition intake and physical activity on haemoglobin A1c (HbA1C) in patients diagnosed with type 2 diabetes mellitus (T2DM) stratified by gender and ethnicity. Materials and Methods An historical cohort of patients with diagnosed T2DM (n = 2831) was extracted from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 public database, including but not limited to, measurements of physical activity, nutrition, body mass index (BMI) and HbA1c. Multivariate analyses and path analyses were employed to estimate the regression coefficients and path coefficients (ρ) of causal path models of physical activity and nutrition intake on HbA1c stratified by gender and three ethnicity groups (ie non-Hispanic white, non-Hispanic black and Mexican American). Results A significant causal path from increased physical activity to increased magnesium (Mg) intake to decreased HbA1c was found. In addition, increased physical activity significantly decreased BMI, which further decreased HbA1c. These results varied by gender and ethnicity but were directionally consistent. Physical activity decreased HbA1c through BMI for males and through Mg intake for females. Mexican American decreased HbA1c through Mg intake, while non-Hispanic black had an increased HbA1c due to its ethnicity and through increased BMI. Conclusions The beneficial effects of physical activity on decreased HbA1c were mediated through the increased Mg intake and decreased BMI. This aligned with recent investigations of the inverse causal association of Mg intake with insulin resistance and with decreased inflammation.
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Affiliation(s)
- You Wu
- Global Biostatistics Science Center for Design and Analysis Amgen Inc. Thousand Oaks CA USA
- Department of Bioinformatics and Biostatistics School of Public Health and Information Sciences University of Louisville Louisville KY USA
| | - Susmita Datta
- Department of Biostatistics, College of Public Health & Health Professions and College of Medicine University of Florida 2004 Mowry Rd Gainesville United States FL 32611-7450 USA
| | - Bert B Little
- Department of Health Management and Systems Sciences School of Public Health and Information Sciences University of Louisville Louisville KY USA
| | - Maiying Kong
- Department of Bioinformatics and Biostatistics School of Public Health and Information Sciences University of Louisville Louisville KY USA
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12
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Yadav C, Srikantiah RM, Manjrekar P, Shenoy MT, Chaudhury D. Assessment of Mineral Pathophysiology in Patients with Diabetic Foot Ulcer. Biol Trace Elem Res 2020; 195:366-372. [PMID: 31435884 DOI: 10.1007/s12011-019-01868-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 08/08/2019] [Indexed: 01/13/2023]
Abstract
Chronic non-healing diabetic foot ulcers (DFU) with a recurrence rate of over 50% in 3 years account for more than 1,08000 non-traumatic lower extremity amputations. Reports of altered mineral status and their role in pathogenesis of diabetes are well documented. However, little is known regarding their status and impact on severity of complications like foot ulcer. A hospital-based case control study was conducted in 64 subjects aged 40-60 years, attending the Podiatric and the Diabetes clinic of the institutional hospitals. Study subjects included were 32 diagnosed cases of type 2 diabetes having foot ulcers along with 32 age-matched diabetics without foot ulcer as controls. Fasting and post-prandial plasma glucose were estimated by glucose oxidase peroxidase method and HbA1c by high-performance liquid chromatography method. Serum zinc, magnesium and copper levels were estimated by colorimetric methods in semi-autoanalyser. Serum levels of zinc, copper and magnesium were significantly decreased in DFU cases as compared with diabetics without ulcers (p < 0.05). Correlation analysis revealed a significant inverse correlation of these minerals with all the glycaemic indices; the association being the strongest in case of zinc in both groups. The higher degree of mineral insufficiencies in the foot ulcer group of this study could be responsible for worsening the glycaemic control in diabetics leading to delayed healing of foot ulcers. The observed decrease of serum copper, magnesium and zinc levels in diabetics with foot ulcers appears to be proportionally related to the length of the diabetic disease. Thus, continuous monitoring and dietary supplementation of minerals in case of severe deficiencies might be beneficial in halting the progression of such complications.
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Affiliation(s)
- Charu Yadav
- Department of Biochemistry, Lady Hardinge Medical College, New Delhi, India
| | - Rukmini Mysore Srikantiah
- Department of Biochemistry, Kasturba Medical College, Manipal Academy of Higher Education, Mangalore, India.
| | | | - Mamatha T Shenoy
- Department of Biochemistry, Velammal College and Research Institute, Madurai, India
| | - Debajit Chaudhury
- Stem Cells and Regenerative Medicine Division, Yenepoya Research Centre, Mangalore, India
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13
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The association between serum and dietary magnesium with cardiovascular disease risk factors in Iranian adults with metabolic syndrome. TRANSLATIONAL METABOLIC SYNDROME RESEARCH 2020. [DOI: 10.1016/j.tmsr.2020.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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14
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Jafarnejad S, Mahboobi S, McFarland LV, Taghizadeh M, Rahimi F. Meta-Analysis: Effects of Zinc Supplementation Alone or with Multi-Nutrients, on Glucose Control and Lipid Levels in Patients with Type 2 Diabetes. Prev Nutr Food Sci 2019; 24:8-23. [PMID: 31008092 PMCID: PMC6456233 DOI: 10.3746/pnf.2019.24.1.8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 11/07/2018] [Indexed: 01/08/2023] Open
Abstract
The present study aims to assess the effects of zinc supplementation on metabolic parameters in patients with type 2 diabetes. A literature search was conducted in PubMedTM, Google ScholarTM, and ScopusTM up to March 2018. Twenty randomized controlled trials met the predefined inclusion criteria and were included in the meta-analysis. Weighted mean difference (WMD) with 95% confidence intervals (CIs) were calculated for net changes in glycemic indices including fasting blood glucose (FBG) and hemoglobin A1c (HbA1c), and in lipid markers including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-c), and high density lipoprotein cholesterol (HDL-c). Subgroup analyses were performed based on intervention and study quality. Compared to controls, zinc supplementation significantly reduced the concentrations of both FBG and HbA1c (FBG WMD: −19.66 mg/dL, 95% CI: −33.71, −5.62; HbA1c WMD: −0.43 mg/dL, 95% CI: −0.80, −0.07). The pooled estimate showed a significant decrease in serum TC and LDL-c, and increase in serum HDL-c levels in treatment group compared with the control group (TC WMD: −18.51 mg/dL, 95% CI: −21.36, −15.66; LDL-c WMD: −4.80 mg/dL, 95% CI: −6.07, −3.53; HDL-c WMD: 1.45 mg/dL, 95% CI: 1.40, 1.51). Subgroup analysis of “no co-supplement” intervention demonstrated significant differences for mean changes in HDL-c and FBG levels, whereas subgroup analysis of high quality studies showed significant differences for mean changes of LDL-c, HDL-c, and FBG levels. Results suggested that zinc supplementation reduces FBG, HbA1c and LDL-c levels and increases HDL-C levels; however, these changes were related to intervention and quality of studies.
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Affiliation(s)
- Sadegh Jafarnejad
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan 87137-81147, Iran
| | - Sepideh Mahboobi
- Department of Community Nutrition, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Lynne V McFarland
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195-5502, USA
| | - Mohsen Taghizadeh
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan 87137-81147, Iran
| | - Fatemeh Rahimi
- Faculty of Public Health, Kermanshah University of Medical Science, Kermanshah 67158-47141, Iran
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15
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Şahingöz Erdal G, Karandere F, Mısıroğlu F, Özbaş Tevetoğlu I, Okuturlar Y, Koçoğlu H, Hurşitoğlu M. Assessment of relationship between serum magnesium and serum glucose levels and HOMA-IR in diabetic and prediabetic patients. ARCHIVES OF CLINICAL AND EXPERIMENTAL MEDICINE 2019. [DOI: 10.25000/acem.451930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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16
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Fang C, Wu W, Gu X, Dai S, Zhou Q, Deng H, Shen F, Chen J. Association of serum copper, zinc and selenium levels with risk of metabolic syndrome: A nested case-control study of middle-aged and older Chinese adults. J Trace Elem Med Biol 2019; 52:209-215. [PMID: 30732884 DOI: 10.1016/j.jtemb.2018.12.017] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 12/13/2018] [Accepted: 12/31/2018] [Indexed: 01/02/2023]
Abstract
Trace elements, such as copper, zinc and selenium, have been linked to the development of metabolic syndrome. However, previous studies concerning these trace elements in association with metabolic syndrome have presented conflicting results in different countries. The aim of this study was to analyse the association between serum copper, zinc and selenium concentrations and the risk of metabolic syndrome among middle-aged and older Chinese adults. We performed a nested case-control study that included 349 individuals who developed metabolic syndrome (125 males and 224 females) during a 3-year follow-up and 349 controls matched by baseline age (±1 years), sex and area. Serum trace element concentrations were measured using atomic absorption spectrometry. The median serum selenium levels in males and females in the metabolic syndrome group were 82.2 (13.4) μg/L and 82.6 (11.1) μg/L, respectively, which were significantly higher than the serum selenium levels in the control group (p = 0.001 and p < 0.001). After adjusting for potential confounders, the odds ratios of risk for metabolic syndrome in the highest tertile of serum selenium levels were 2.72 [95% confidence interval (CI) 1.43-5.20; p for trend 0.002] for males and 5.30 (95% CI 3.31-8.74; p for trend <0.001) for females, respectively, compared with the lowest tertile. In addition, serum selenium levels were positively correlated with postprandial plasma glucose in both genders (for males: odds ratio 2.42; 95% CI 1.27-4.61; for females: odds ratio 2.11; 95% CI 1.32-3.37) and negatively associated with high-density lipoprotein in only females (odds ratio 3.21; 95% CI 1.75-5.91). These results suggest that higher levels of serum selenium might be an independent risk factor for metabolic syndrome, especially in relation to elevated postprandial plasma glucose and reduced high-density lipoprotein levels. However, we failed to demonstrate an association between copper or zinc status and metabolic syndrome or its components.
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Affiliation(s)
- Chenchen Fang
- Department of Emergency, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenjun Wu
- Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuejiang Gu
- Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shanshan Dai
- Department of Emergency, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Qi Zhou
- Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Huihui Deng
- Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Feixia Shen
- Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Junjie Chen
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
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Abstract
Hypomagnesaemia is common in pregnancy, particularly in developing countries and low-income communities. Despite the frequent therapeutic use of magnesium in pregnancy, and the evidence regarding the association of hypomagnesaemia with adverse pregnancy outcomes in animal studies, it remains unclear whether hypomagnesaemia is associated with complications in human pregnancy. Three case reports of pregnancies complicated by moderate-severe hypomagnesaemia are presented and magnesium physiology in pregnancy is discussed. The evidence as to whether hypomagnesaemia may represent a direct cause, a consequence of other disease processes or an epiphenomenon in adverse pregnancies outcomes is reviewed.
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Affiliation(s)
- Adam Morton
- Mater Hospital, Raymond Tce, Brisbane, Australia
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18
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Akter S, Eguchi M, Nanri A, Kochi T, Kashino I, Kuwahara K, Hu H, Miki T, Kabe I, Mizoue T. Association of dietary and serum magnesium with glucose metabolism markers: The Furukawa Nutrition and Health Study. Clin Nutr ESPEN 2018; 24:71-77. [PMID: 29576367 DOI: 10.1016/j.clnesp.2018.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 01/17/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND & AIMS Magnesium may play an important role in cardio-metabolic abnormalities, including type 2 diabetes, but epidemiological evidence linking magnesium status to glucose metabolism is limited among Asians. We cross-sectionally examined the association of dietary and serum magnesium with markers of glucose metabolism among Japanese subjects. METHODS Subjects were 1796 workers, aged 18-78 years, who participated in a health survey. Dietary magnesium intake was assessed with a validated brief diet history questionnaire. Serum magnesium concentrations were measured using an enzymatic method. Multivariable linear regression models were used to estimate means of fasting insulin, fasting plasma glucose, homeostatic model assessment of insulin resistance (HOMA-IR), homeostatic model assessment of β-cell function (HOMA-β), and glycated hemoglobin (HbA1c), with adjustments made for potential confounding variables. RESULTS Dietary magnesium was inversely associated with HOMA-IR (Ptrend = 0.01). Multivariable-adjusted means (95% confidence intervals) of HOMA-IR for the lowest to highest quartiles of dietary magnesium were 0.94 (0.89-0.99), 0.92 (0.88-0.97), 0.88 (0.83-0.92), and 0.86 (0.81-0.90). Serum magnesium concentrations were also inversely associated with HOMA-IR (Ptrend = 0.04) and HbA1c (Ptrend <0.01). Multivariable-adjusted means (95% confidence intervals) for the lowest to highest quartiles of serum magnesium were 0.94 (0.90-0.98), 0.87 (0.83-0.91), 0.90 (0.85-0.95), and 0.86 (0.81-0.92) for HOMA-IR and 5.41 (5.36-5.45), 5.33 (5.28-5.37), 5.30 (5.25-5.36), and 5.28 (5.22-5.35) for HbA1c. Excluding subjects with diabetes did not materially change the association between dietary magnesium and HOMA-IR (Ptrend <0.01), while it attenuated the association of serum magnesium with HOMA-IR (Ptrend = 0.27) and HbA1c (Ptrend = 0.15). CONCLUSIONS The present findings suggest that lower dietary magnesium, but not serum magnesium, is associated with IR in apparently healthy adults.
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Affiliation(s)
- Shamima Akter
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
| | - Masafumi Eguchi
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Akiko Nanri
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Department of Food and Health Sciences, Fukuoka Women's University, Fukuoka, Japan
| | - Takeshi Kochi
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Ikuko Kashino
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Keisuke Kuwahara
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Teikyo University Graduate School of Public Health, Tokyo, Japan
| | - Huanhuan Hu
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Takako Miki
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Isamu Kabe
- Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
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19
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Chen S, Jin X, Liu J, Sun T, Xie M, Bao W, Yu X, Yang X, Zhang Y, Zhang H, Shan Z, Liu L. Association of Plasma Magnesium with Prediabetes and Type 2 Diabetes Mellitus in Adults. Sci Rep 2017; 7:12763. [PMID: 28986547 PMCID: PMC5630593 DOI: 10.1038/s41598-017-13050-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 09/13/2017] [Indexed: 12/15/2022] Open
Abstract
Our study aimed to assess the associations of plasma magnesium with prediabetes and type 2 diabetes (T2D) among Chinese adults. We conducted a case-control analysis of 4447 participants: 867 newly diagnosed prediabetes patients, 1475 newly diagnosed T2D patients and 2105 normal glucose tolerance (NGT) individuals. In a subsample of 599 apparently healthy individuals, we measured plasma hs-CRP levels to examine their relation to plasma magnesium. Plasma magnesium and hs-CRP were measured by inductively coupled plasma mass spectrometry and an enzyme-linked immunosorbent assay, respectively. Plasma magnesium decreased from NGT to prediabetes to T2D, and was inversely associated with prediabetes and T2D. After adjustment for potential confounding factors, the ORs from the lowest to highest quartiles of plasma magnesium were 1, 0.57 (95%CI, 0.44–0.74), 0.49 (0.37–0.65) and 0.51 (0.37–0.70) for prediabetes, and 1, 0.26 (0.20–0.33), 0.15 (0.12–0.20) and 0.15 (0.11–0.20) for T2D. Consistently, plasma magnesium was inversely correlated with plasma hs-CRP in our subsample analysis; the geometric mean hs-CRP concentration for ascending quartiles of plasma magnesium were 1.29 (1.06–1.57), 1.16 (0.95–1.41), 1.00 (0.81–1.22), and 0.71 (0.58–0.88) mg/l. Plasma magnesium was independently and inversely associated with prediabetes and T2D in Chinese adults.
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Affiliation(s)
- Sijing Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiaoling Jin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jun Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Taoping Sun
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Manling Xie
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, 52242, USA
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yan Zhang
- Hubei Provincial Key Laboratory of Yeast Function, Yichang, 443003, China
| | - Haibo Zhang
- Hubei Provincial Key Laboratory of Yeast Function, Yichang, 443003, China
| | - Zhilei Shan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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20
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Su H, Wang Y, Ma X, He X, Ying L, Tang J, Dong L, Bao Y, Zhou J, Jia W. Comparative Agreement Analysis of Differences in 1,5-Anhydroglucitol, Glycated Albumin, and Glycated Hemoglobin A1c Levels between Fasting and Postprandial States in Steamed Bread Meal Test. Int J Endocrinol 2017; 2017:5917293. [PMID: 29104592 PMCID: PMC5632448 DOI: 10.1155/2017/5917293] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Revised: 08/10/2017] [Accepted: 08/23/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Our previous study indicated that serum 1,5-anhydroglucitol (1,5-AG) levels slightly increased after a glucose load; therefore, this study was conducted to explore short-term changes in 1,5-AG levels after a steamed bread meal test (SBMT) and compare the agreement of 1,5-AG, glycated albumin (GA), and glycated hemoglobin A1c (HbA1c) levels between fasting and postprandial states after an SBMT. METHODS 104 participants were recruited and underwent a 100 g SBMT. Fasting, 30 min, and 120 min of 1,5-AG, GA, and HbA1c were measured. RESULTS Levels of 1,5-AG slightly increased from 30 to 120 min after an SBMT (P < 0.01), and HbA1c and GA levels showed stability at 30 and 120 min. The Passing-Bablok regression linear equation showed that postprandial 1,5-AG, GA, and HbA1c levels were well fitted (all P > 0.05), and Bland-Altman difference plot showed that 100% of data points for HbA1c30 and HbA1c120 fell within the limits of agreement; 94.2%, 96.2%, 95.2%, and 95.2% of data points for 1,5-AG30, 1,5-AG120, GA30, and GA120 fell within the limits of agreement, respectively. CONCLUSION Agreement analyses indicated good stability of 1,5-AG, GA, and HbA1c levels after the SBMT. HbA1c had an optimal stability, which was superior to that of GA or 1,5-AG.
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Affiliation(s)
- Hang Su
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Lingwen Ying
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Junling Tang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Lu Dong
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
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21
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Yadav C, Manjrekar PA, Agarwal A, Ahmad A, Hegde A, Srikantiah RM. Association of Serum Selenium, Zinc and Magnesium Levels with Glycaemic Indices and Insulin Resistance in Pre-diabetes: a Cross-Sectional Study from South India. Biol Trace Elem Res 2017; 175:65-71. [PMID: 27272715 DOI: 10.1007/s12011-016-0766-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 05/27/2016] [Indexed: 01/22/2023]
Abstract
A growing understanding of antioxidant mechanisms and insulin-like actions of trace elements selenium and zinc has rekindled researchers' interest towards their role in diabetes mellitus, nutritional management of which concentrates predominantly on macronutrient intake. However, selenium studies limiting largely to diabetes have yielded inconsistent results with sparse knowledge in the pre-diabetes population. This hospital-based cross-sectional study screened 300 people who came to the institutional hospital laboratory with fasting plasma glucose and glycosylated haemoglobin requisition over a period of 6 months. Thirty-five pre-diabetes subjects aged 25-45 years and 35 age-matched healthy controls were selected as per inclusion criteria and clinical history. Serum selenium was estimated by inductively coupled plasma-mass spectrometry, zinc and magnesium by colorimetric end-point methods and insulin by enzyme-linked immunosorbent assay, and insulin resistance was calculated using a homeostasis model assessment (HOMA) 2 calculator. Data analysis was done using SPSS ver. 16 employing an independent sample t test for intergroup comparison of means and Pearson's correlation for correlation analysis. Serum mineral levels in the pre-diabetes group (selenium 63.01 ± 17.6 μg/L, zinc 55.78 ± 13.49 μg/dL, magnesium 1.37 ± 0.38 mg/dL) were significantly reduced (p < 0.05) in comparison to the healthy controls (selenium 90.98 ± 15.81 μg/L, zinc 94.53 ± 15.41 μg/dL, magnesium 2.12 ± 0.22 mg/dL). A significant negative correlation was seen with glycaemic indices and insulin resistance. This study conducted in pre-diabetes subjects highlights a considerable deficiency of serum selenium, zinc and magnesium observed at a much earlier pre-clinical phase. This coupled with the evidence of a strong inverse association with glycaemic indices and insulin resistance postulates the role of mineral alterations in the pathophysiology of hyperglycaemia and insulin resistance.
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Affiliation(s)
- Charu Yadav
- Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, India
| | - Poornima A Manjrekar
- Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, India.
| | - Ashish Agarwal
- Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, India
| | - Afzal Ahmad
- Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, India
| | - Anupama Hegde
- Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, India
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22
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Herman M, Golasik M, Piekoszewski W, Walas S, Napierala M, Wyganowska-Swiatkowska M, Kurhanska-Flisykowska A, Wozniak A, Florek E. Essential and Toxic Metals in Oral Fluid-a Potential Role in the Diagnosis of Periodontal Diseases. Biol Trace Elem Res 2016; 173:275-82. [PMID: 26942441 PMCID: PMC5018033 DOI: 10.1007/s12011-016-0660-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 02/19/2016] [Indexed: 12/13/2022]
Abstract
Recently, many studies have investigated the relationship between the level of metals in the body and various diseases. The objective of this study was to examine any possible influence of periodontal disease upon the concentration of metals in oral fluid and blood and to explore the usability of applying cluster analysis coupled with the analysis of selected elements in oral fluid, calcium (Ca), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), zinc (Zn), cadmium (Cd) and lead (Pb), for effectively distinguishing people affected by periodontitis from healthy individuals. The quantification of eight metals in oral fluid and blood samples was performed by two inductively coupled plasma techniques-inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectrometry (ICP-OES). Most of the examined elements were detected at elevated concentration in the oral fluid of periodontal patients. However, the differences were statistically significant in the case of three metals: Cu, Mg and Mn (p < 0.05). Approximately, fivefold increase in the concentration of Cu, threefold-elevated levels of Mn and a twofold increase in the concentration of Mg were found in the oral fluid of the periodontal patients compared to the controls. Cluster analysis confirmed the statistical significance of the differences in the level of metals in the oral fluid between the two groups in most cases, plus enabled the correct classification of the subjects into patients and controls. The relationship between concentrations of metals and periodontal disease may in the future serve to prevent the development of such disease.
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Affiliation(s)
- Malgorzata Herman
- Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, 3 Ingardena Street, 30-060, Krakow, Poland
| | - Magdalena Golasik
- Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, 3 Ingardena Street, 30-060, Krakow, Poland
| | - Wojciech Piekoszewski
- Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, 3 Ingardena Street, 30-060, Krakow, Poland
- Laboratory of High Resolution Mass Spectrometry, Regional Laboratory of Physicochemical Analysis and Structural Research, Faculty of Chemistry, Jagiellonian University, 3 Ingardena Street, 30-060, Krakow, Poland
| | - Stanislaw Walas
- Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, 3 Ingardena Street, 30-060, Krakow, Poland
| | - Marta Napierala
- Laboratory of Environmental Research, Department of Toxicology, Faculty of Pharmacy, Poznan University of Medical Sciences, 30 Dojazd Street, 60-631, Poznan, Poland
| | | | - Anna Kurhanska-Flisykowska
- Department of Conservative Dentistry and Periodontology, Poznan University of Medical Sciences, 60-820, Poznan, Poland
| | - Anna Wozniak
- Laboratory of Environmental Research, Department of Toxicology, Faculty of Pharmacy, Poznan University of Medical Sciences, 30 Dojazd Street, 60-631, Poznan, Poland
| | - Ewa Florek
- Laboratory of Environmental Research, Department of Toxicology, Faculty of Pharmacy, Poznan University of Medical Sciences, 30 Dojazd Street, 60-631, Poznan, Poland.
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Chu C, Zhao W, Zhang Y, Li L, Lu J, Jiang L, Wang C, Jia W. Low serum magnesium levels are associated with impaired peripheral nerve function in type 2 diabetic patients. Sci Rep 2016; 6:32623. [PMID: 27601013 PMCID: PMC5013481 DOI: 10.1038/srep32623] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Accepted: 08/10/2016] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to explore the relationship between serum magnesium and peripheral nerve function in patients with type 2 diabetes (T2DM). A total of 978 T2DM patients were included in the study. Patients were divided into tertiles according to serum magnesium concentration (low tertile: ≤0.85 mmol/L; medium tertile: 0.85 to 0.92 mmol/L; and high tertile: >0.92 mmol/L). All participants underwent nerve conduction (NC) studies. Composite z scores of conduction velocity, latency, and amplitude were constructed, respectively. The serum magnesium levels were significantly lower in patients with abnormal NC than in those with normal NC (0.87 [0.82, 0.92] vs. 0.88 [0.83, 0.93] mmol/L, P = 0.048). The composite z score of amplitude significantly increased with increasing tertiles of magnesium (−0.60 ± 0.02 vs. −0.57 ± 0.02 vs. −0.48 ± 0.03, P for trend = 0.001). After adjusting for all potential confounders, lower serum magnesium levels were still associated with lower composite z score of amplitude (β = 0.095, P = 0.014). In patients with T2DM, lower serum magnesium levels were significantly associated with lower composite z score of amplitude, indicating magnesium might affect peripheral nerve function through axonal degeneration.
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Affiliation(s)
- Chen Chu
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, People's Republic of China
| | - Weijing Zhao
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, 600 Yishan Road, Shanghai 200233, People's Republic of China
| | - Yinan Zhang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Center for Translational Medicine, Shanghai Key Laboratory of Diabetes Mellitus, The Metabolic Diseases Biobank, Shanghai, 200233, People's Republic of China
| | - Lu Li
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, People's Republic of China
| | - Jingyi Lu
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, People's Republic of China
| | - Lan Jiang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Electrophysiology, Shanghai, 200233, People's Republic of China
| | - Congrong Wang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, People's Republic of China
| | - Weiping Jia
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, 600 Yishan Road, Shanghai 200233, People's Republic of China
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Gutierrez JL, Arentson-Lantz EJ. Dietary Management of Glycemic Control in Older Adults. Curr Nutr Rep 2016. [DOI: 10.1007/s13668-016-0159-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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