1
|
Li K, Yang Y, Zhao J, Zhou Q, Li Y, Yang M, Hu Y, Xu J, Zhao M, Xu Q. Associations of metals and metal mixtures with glucose homeostasis: A combined bibliometric and epidemiological study. JOURNAL OF HAZARDOUS MATERIALS 2024; 470:134224. [PMID: 38583198 DOI: 10.1016/j.jhazmat.2024.134224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Abstract
This study employs a combination of bibliometric and epidemiological methodologies to investigate the relationship between metal exposure and glucose homeostasis. The bibliometric analysis quantitatively assessed this field, focusing on study design, predominant metals, analytical techniques, and citation trends. Furthermore, we analyzed cross-sectional data from Beijing, examining the associations between 14 blood metals and 6 glucose homeostasis markers using generalized linear models (GLM). Key metals were identified using LASSO-PIPs criteria, and Bayesian kernel machine regression (BKMR) was applied to assess metal mixtures, introducing an "Overall Positive/Negative Effect" concept for deeper analysis. Our findings reveal an increasing research interest, particularly in selenium, zinc, cadmium, lead, and manganese. Urine (27.6%), serum (19.0%), and whole blood (19.0%) were the primary sample types, with cross-sectional studies (49.5%) as the dominant design. Epidemiologically, significant associations were found between 9 metals-cobalt, copper, lithium, manganese, nickel, lead, selenium, vanadium, zinc-and glucose homeostasis. Notably, positive-metal mixtures exhibited a significant overall positive effect on insulin levels, and notable interactions involving nickel were identified. These finding not only map the knowledge landscape of research in this domain but also introduces a novel perspective on the analysis strategies for metal mixtures.
Collapse
Affiliation(s)
- Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yisen Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yaoyu Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
| |
Collapse
|
2
|
Ou J, Sun Y, Tong J, Tang W, Ma G. The relationship between serum manganese concentration with all-cause and cause-specific mortality: a retrospective and population-based cross-sectional study. BMC Cardiovasc Disord 2024; 24:229. [PMID: 38678176 PMCID: PMC11055268 DOI: 10.1186/s12872-024-03872-5] [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: 01/31/2023] [Accepted: 04/01/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND The study aimed to explore the association between manganese concentration and all-cause, cardiovascular disease (CVD)-related, and cancer-related mortality in the general population of the United States. METHODS We integrated the data from the National Health and Nutrition Examination Survey from 2011 to 2018. A total of 9,207 subjects were selected based on the inclusion and exclusion criteria. The relationship between manganese concentration and all-cause, CVD-related, and cancer-related mortality was analyzed by constructing a Cox proportional hazard regression model and a restricted cubic spline (RCS) plot. Additionally, subgroup analyses stratified by age, sex, race/ethnicity, hypertension, diabetes mellitus (DM), chronic heart disease, chronic heart failure, angina pectoris, heart attack, stroke, and BMI were further performed. RESULTS In the full adjusted model, compared with the lowest quartile, the adjusted hazard ratios with 95% confidence intervals (CIs) for all-cause, CVD-related, and cancer-related mortality across manganese quartiles were (1.11 (0.87,1.41), 0.96 (0.74, 1.23), and 1.23 (0.96, 1.59); P-value for trend =0.041), (0.86 (0.54, 1.37), 0.87 (0.55, 1.40), and 1.07 (0.67, 1.72); P-value for trend =0.906), and (1.45 (0.92, 2.29), 1.14 (0.70, 1.88), and 1.26 (0.75, 2.11); P-value for trend =0.526), respectively. The RCS curve shown a U-shaped association between manganese concentration and all-cause mortality and CVD-related mortality (P-value for nonlinear <0.05). However, there was an increase and then a decrease in the link between manganese concentration and cancer-related mortality (P-value for nonlinear <0.05). Manganese exposure was positively correlated with sex (correlation coefficient, r =0.19, P-value <0.001) and negatively correlated with age (correlation coefficient, r =-0.11, P-value <0.001) and serum creatinine (correlation coefficient, r =-0.12, P-value <0.001), respectively. CONCLUSIONS Our findings suggest that elevated serum manganese concentrations are associated with all-cause and CVD-related mortality in the U.S. population and that maintenance of serum manganese between 8.67-9.23 µg/L may promote public health.
Collapse
Affiliation(s)
- Jianyun Ou
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, P.R. China
| | - Yunfei Sun
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, P.R. China
| | - Jie Tong
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, P.R. China
| | - Weihong Tang
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, P.R. China
| | - Genshan Ma
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, P.R. China.
| |
Collapse
|
3
|
Zhang Y, Liu X, Zhang X, Li L, Li Q, Geng H, Shi L, Wang B, Qiu Q, Yu T, Sang Y, Wang L, Liang J, Xu W. Association between serum heavy metal levels and diabetic retinopathy in NHANES 2011-2020. Sci Rep 2024; 14:1268. [PMID: 38218955 PMCID: PMC10787836 DOI: 10.1038/s41598-024-51749-6] [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: 08/17/2023] [Accepted: 01/09/2024] [Indexed: 01/15/2024] Open
Abstract
The present study utilized the National Health and Nutrition Examination Survey (NHANES) database to examine the relationship between serum levels of heavy metals and Diabetic retinopathy (DR) in individuals aged over 30 years with type 2 diabetes mellitus (T2DM) in the United States. A cross-sectional analysis was conducted on 1583 individuals with T2DM from the NHANES 2011-2020, including 331 individuals in the DR group and 1252 individuals in the non-DR group. We collected data on serum levels of heavy metals, DR, and serum albumin for descriptive statistics, linear regression, and logistical regression analysis. After adjusting for age, gender, race and other factors, there was no statistically significant association between blood cadmium, selenium, mercury, or lead and DR. However, serum manganese (Mn) and DR had a significant negative association (β = - 0.2045, 95% CI = - 0.3484, - 0.0606). Serum albumin partially modulated the indirect influence of serum Mn on the incidence of DR, accounting for 12.80% of the association between serum Mn and DR. There was a negative association between serum Mn levels and the prevalence of DR in people with T2DM. Mn intake at least in this study has a little influence on the onset and development of DR.
Collapse
Affiliation(s)
- Yan Zhang
- The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xuekui Liu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Xia Zhang
- The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Lin Li
- Bengbu Medical College, Bengbu, Anhui, China
| | - Qing Li
- The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Houfa Geng
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Li Shi
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Ben Wang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Qinqin Qiu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Tianpei Yu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Yiquan Sang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Liying Wang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China
| | - Jun Liang
- The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China.
| | - Wei Xu
- The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China.
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Xuzhou, Jiangsu, China.
| |
Collapse
|
4
|
Sun Y, Zhang Y. Blood manganese level and gestational diabetes mellitus: a systematic review and meta-analysis. J OBSTET GYNAECOL 2023; 43:2266646. [PMID: 37921106 DOI: 10.1080/01443615.2023.2266646] [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: 05/26/2023] [Accepted: 09/29/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Previous studies evaluating the relationship between blood manganese (Mn) level and gestational diabetes mellitus (GDM) in pregnant women showed inconsistent results. A systematic review and meta-analysis was therefore performed to investigate the above association. METHODS Relevant observational studies were obtained by search of electronic databases including Medline, Embase, Cochrane Library and Web of Science from database inception to 10 March 2023. Two authors independently performed database search, literature identification and data extraction. A randomised-effects model was selected to pool the data by incorporating the influence of potential heterogeneity. Subgroup analysis was performed to evaluate the influence of study characteristics on the results of the meta-analysis. RESULTS Six datasets from five observational studies, involving 91,249 pregnant women were included in the meta-analysis. Among the participants, 3597 (3.9%) were diagnosed as GDM. Overall, pooled results showed that a high blood level of Mn was associated with a higher risk of GDM (compared between women with highest versus lowest category blood Mn, odds ratio: 1.31, 95% confidence interval: 1.19-1.44, p < .001) with no significant heterogeneity (p for Cochrane Q-test = 0.93, I2 = 0%). Subgroup analyses according to study design, mean maternal age, matrix or methods for measuring blood Mn, and the incidence of GDM also showed consistent results (p for subgroup difference all >.05). CONCLUSIONS Results of the meta-analysis suggest that a high blood Mn level may be a risk factor of GDM in pregnant women. Studies are needed to determine the underlying mechanisms, and to investigate if the relationship between blood Mn level and GDM is dose-dependent.
Collapse
Affiliation(s)
- Yingmei Sun
- Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Zhang
- Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| |
Collapse
|
5
|
Baj J, Flieger W, Barbachowska A, Kowalska B, Flieger M, Forma A, Teresiński G, Portincasa P, Buszewicz G, Radzikowska-Büchner E, Flieger J. Consequences of Disturbing Manganese Homeostasis. Int J Mol Sci 2023; 24:14959. [PMID: 37834407 PMCID: PMC10573482 DOI: 10.3390/ijms241914959] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/01/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
Manganese (Mn) is an essential trace element with unique functions in the body; it acts as a cofactor for many enzymes involved in energy metabolism, the endogenous antioxidant enzyme systems, neurotransmitter production, and the regulation of reproductive hormones. However, overexposure to Mn is toxic, particularly to the central nervous system (CNS) due to it causing the progressive destruction of nerve cells. Exposure to manganese is widespread and occurs by inhalation, ingestion, or dermal contact. Associations have been observed between Mn accumulation and neurodegenerative diseases such as manganism, Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. People with genetic diseases associated with a mutation in the gene associated with impaired Mn excretion, kidney disease, iron deficiency, or a vegetarian diet are at particular risk of excessive exposure to Mn. This review has collected data on the current knowledge of the source of Mn exposure, the experimental data supporting the dispersive accumulation of Mn in the brain, the controversies surrounding the reference values of biomarkers related to Mn status in different matrices, and the competitiveness of Mn with other metals, such as iron (Fe), magnesium (Mg), zinc (Zn), copper (Cu), lead (Pb), calcium (Ca). The disturbed homeostasis of Mn in the body has been connected with susceptibility to neurodegenerative diseases, fertility, and infectious diseases. The current evidence on the involvement of Mn in metabolic diseases, such as type 2 diabetes mellitus/insulin resistance, osteoporosis, obesity, atherosclerosis, and non-alcoholic fatty liver disease, was collected and discussed.
Collapse
Affiliation(s)
- Jacek Baj
- Chair and Department of Anatomy, Medical University of Lublin, 20-090 Lublin, Poland; (W.F.); (A.F.)
| | - Wojciech Flieger
- Chair and Department of Anatomy, Medical University of Lublin, 20-090 Lublin, Poland; (W.F.); (A.F.)
| | - Aleksandra Barbachowska
- Department of Plastic, Reconstructive and Burn Surgery, Medical University of Lublin, 21-010 Łęczna, Poland;
| | - Beata Kowalska
- Department of Water Supply and Wastewater Disposal, Lublin University of Technology, 20-618 Lublin, Poland;
| | - Michał Flieger
- Chair and Department of Forensic Medicine, Medical University of Lublin, 20-090 Lublin, Poland; (M.F.); (G.T.); (G.B.)
| | - Alicja Forma
- Chair and Department of Anatomy, Medical University of Lublin, 20-090 Lublin, Poland; (W.F.); (A.F.)
| | - Grzegorz Teresiński
- Chair and Department of Forensic Medicine, Medical University of Lublin, 20-090 Lublin, Poland; (M.F.); (G.T.); (G.B.)
| | - Piero Portincasa
- Clinica Medica A. Murri, Department of Biomedical Sciences & Human Oncology, Medical School, University of Bari, 70124 Bari, Italy;
| | - Grzegorz Buszewicz
- Chair and Department of Forensic Medicine, Medical University of Lublin, 20-090 Lublin, Poland; (M.F.); (G.T.); (G.B.)
| | | | - Jolanta Flieger
- Department of Analytical Chemistry, Medical University of Lublin, 20-093 Lublin, Poland
| |
Collapse
|
6
|
Wu Z, Guan T, Cai D, Su G. Exposure to multiple metals in adults and diabetes mellitus: a cross-sectional analysis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:3251-3261. [PMID: 36227414 DOI: 10.1007/s10653-022-01411-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/01/2022] [Indexed: 06/01/2023]
Abstract
Diabetes mellitus (DM) is the most widely recognized metabolic illness with expanding morbidity among ongoing years. Its high incapacity rate and death rate badly affect individuals' quality of life. Increasing proofs backed the relationship between metal exposures with the risk of DM, but the methodological boundedness cannot clarify the complexity of the internal relationship of metal mixtures. We fitted the logistic regression model, weighted quantile sum regression model, and Bayesian kernel machine regression model to assess the relationship between the metal exposures with DM in adults who participated in the National Health and Nutrition Examination Survey 2013-2016. The metals (lead, cadmium, and copper) levels were significantly higher among diabetic compared to the healthy controls. In the logistic regression model established for each single metal, lead and manganese were associated with DM in both unadjusted and mutually adjusted models (highest vs. lowest concentration quartile). When considering all metal as a mixed exposure, we found a generally positive correlation between metal mixtures with DM (binary outcome) and glycohemoglobin (HbA1c) levels (continuous outcome). Exposure to metal mixtures was associated with an increased risk of DM and elevated levels of HbA1c.
Collapse
Affiliation(s)
- Zhen Wu
- Suqian Center for Disease Control and Prevention, 8 Renmin Avenue, Suqian, 223899, Jiangsu, China.
| | - Tong Guan
- Suqian Center for Disease Control and Prevention, 8 Renmin Avenue, Suqian, 223899, Jiangsu, China
| | - Dandan Cai
- Suqian Center for Disease Control and Prevention, 8 Renmin Avenue, Suqian, 223899, Jiangsu, China
| | - Gang Su
- Suqian Center for Disease Control and Prevention, 8 Renmin Avenue, Suqian, 223899, Jiangsu, China
| |
Collapse
|
7
|
Tuell DS, Los EA, Ford GA, Stone WL. The Role of Natural Antioxidant Products That Optimize Redox Status in the Prevention and Management of Type 2 Diabetes. Antioxidants (Basel) 2023; 12:1139. [PMID: 37371869 DOI: 10.3390/antiox12061139] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 05/11/2023] [Accepted: 05/17/2023] [Indexed: 06/29/2023] Open
Abstract
The worldwide prevalence of type 2 diabetes (T2D) and prediabetes is rapidly increasing, particularly in children, adolescents, and young adults. Oxidative stress (OxS) has emerged as a likely initiating factor in T2D. Natural antioxidant products may act to slow or prevent T2D by multiple mechanisms, i.e., (1) reducing mitochondrial oxidative stress, (2) preventing the damaging effects of lipid peroxidation, and (3) acting as essential cofactors for antioxidant enzymes. Natural antioxidant products should also be evaluated in the context of the complex physiological processes that modulate T2D-OxS such as glycemic control, postprandial OxS, the polyol pathway, high-calorie, high-fat diets, exercise, and sleep. Minimizing processes that induce chronic damaging OxS and maximizing the intake of natural antioxidant products may provide a means of preventing or slowing T2D progression. This "optimal redox" (OptRedox) approach also provides a framework in which to discuss the potential benefits of natural antioxidant products such as vitamin E, vitamin C, beta-carotene, selenium, and manganese. Although there is a consensus that early effective intervention is critical for preventing or reversing T2D progression, most research has focused on adults. It is critical, therefore, that future research include pediatric populations.
Collapse
Affiliation(s)
- Dawn S Tuell
- Department of Pediatrics, Quillen College of Medicine, Johnson City, TN 37614, USA
| | - Evan A Los
- Department of Pediatrics, Quillen College of Medicine, Johnson City, TN 37614, USA
| | - George A Ford
- Department of Pediatrics, Quillen College of Medicine, Johnson City, TN 37614, USA
| | - William L Stone
- Department of Pediatrics, Quillen College of Medicine, Johnson City, TN 37614, USA
| |
Collapse
|
8
|
Guan G, Cai J, Zheng S, Xiang Y, Xia S, Zhang Y, Shi J, Wang J. Association between serum manganese and serum klotho in a 40–80-year-old American population from NHANES 2011–2016. FRONTIERS IN AGING 2023; 4:1120823. [PMID: 36970731 PMCID: PMC10031017 DOI: 10.3389/fragi.2023.1120823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 02/23/2023] [Indexed: 03/11/2023]
Abstract
Objectives: Manganese is one of the essential trace elements that are required by the human body. Klotho protein is a classic anti-aging marker. The association between the levels of serum manganese and serum klotho in individuals between the ages of 40–80 in the United States remains unclear.Methods: Data for this cross-sectional study was obtained from the National Health and Nutrition Examination Survey (NHANES 2011–2016) in the United States. We performed multiple linear regression analyses to investigate the association between the levels of serum manganese and serum klotho. Furthermore, we performed a fitted smoothing curve according to a restricted cubic spline (RCS). Stratification and subgroup analyses were performed for further verification of the results.Results: Weighted multivariate linear regression analysis showed that serum manganese levels were independently and positively associated with serum klotho levels (β = 6.30, 95% confidence interval: 3.30–9.40). Kruskal–Wallis test showed that participants with higher manganese quartiles had higher serum klotho levels (Q1: 808.54 ± 256.39 pg/mL; Q2: 854.56 ± 266.13 pg/mL; Q3: 865.13 ± 300.60 pg/mL; and Q4: 871.72 ± 338.85 pg/mL, p < 0.001). The RCS curve indicated that the association between the levels of serum manganese and serum klotho was non-linear. Furthermore, a significantly positive association was found between serum manganese and serum klotho levels in the majority of subgroups.Conclusion: A non-linear and positive association was found between the levels of serum manganese and serum klotho in individuals aged 40–80 in the United States according to the NHANES (2011–2016).
Collapse
Affiliation(s)
- Guoyu Guan
- Department of Geriatrics, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Jiasheng Cai
- Department of Cardiology, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Songbai Zheng
- Department of Geriatrics, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
- *Correspondence: Songbai Zheng,
| | - Yanzhen Xiang
- Department of General Practice, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Shijin Xia
- Department of Geriatrics, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Yixuan Zhang
- Department of Geriatrics, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Jiaqiang Shi
- Department of General Practice, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| | - Jun Wang
- Department of General Practice, Huadong Hospital, Shanghai Medical College Fudan University, Shanghai, China
| |
Collapse
|
9
|
Sungwienwong I, Dankhanob L, Kerdkok D, Tongraung P, Apiratikul N. Functionalized Silver Nanoparticles for Rapid Detection of Mn
2+
Employing a Smartphone Platform. ChemistrySelect 2023. [DOI: 10.1002/slct.202204514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Itthipol Sungwienwong
- Department of Chemistry Faculty of Science Srinakharinwirot University 114 Sukhumvit 23 Rd., Wattana Bangkok Thailand
| | - Lalita Dankhanob
- Department of Chemistry Faculty of Science Srinakharinwirot University 114 Sukhumvit 23 Rd., Wattana Bangkok Thailand
| | - Dhanapat Kerdkok
- Department of Chemistry Faculty of Science Srinakharinwirot University 114 Sukhumvit 23 Rd., Wattana Bangkok Thailand
| | - Pan Tongraung
- Department of Chemistry Faculty of Science Srinakharinwirot University 114 Sukhumvit 23 Rd., Wattana Bangkok Thailand
| | - Nuttapon Apiratikul
- Department of Chemistry Faculty of Science Srinakharinwirot University 114 Sukhumvit 23 Rd., Wattana Bangkok Thailand
| |
Collapse
|
10
|
Li Q, Zhang G, Lin L, Wu M, Cao X, Xiao D, Wang X, Zhang X, Xu S, Li X, Zhong C, Tan T, Chen X, Huang L, Zhang Y, Chen R, Zhou X, Xiong T, Wu Y, Gao Q, Wu J, Li D, Cui W, Tu M, Zhang H, Yang S, Liu J, Yang H, Yang X, Hao L, Yang N. Plasma Manganese Levels and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:15860-15868. [PMID: 36215214 DOI: 10.1021/acs.est.2c03330] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Manganese (Mn) intake has been found to be linked with risk of type 2 diabetes. However, the role of Mn in the development of gestational diabetes mellitus (GDM) remains to be investigated. This prospective study included pregnant women from the Tongji Maternal and Child Health Cohort. A total of 2327 participants with plasma specimens before 20 weeks were included. Among the pregnant women, 9.7% (225/2327) were diagnosed with GDM. After adjustment, pregnant women with the third and highest quartile of plasma Mn levels had 1.31-fold (RR, 2.31 [1.48, 3.61]) and 2.35-fold (RR, 3.35 [2.17, 5.17]) increased risk of GDM compared with those with the lowest quartile. A 1 standard deviation increment of ln-transformed plasma Mn levels (0.53 μg/L) was related to elevated risks of GDM with RRs of 1.28 [1.17, 1.40]. The positive associations between Mn and GDM remained consistent in all the subgroups. The weighted quantile sum index was significantly related to GDM (RR, 1.60 [1.37, 1.86]). The contribution of Mn (58.69%) to the metal mixture index was the highest related to GDM. Higher plasma Mn levels were found to be linked with elevated fasting and 2 h post-load blood glucose. This study revealed relationships of higher plasma Mn levels in early pregnancy and increased risk of GDM, suggesting that though essential, excess Mn in the body might be a potential important risk factor for GDM.
Collapse
Affiliation(s)
- Qian Li
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
- 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, Wuhan, Hubei 430030, P.R. China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Lixia Lin
- 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, Wuhan, Hubei 430030, P.R. China
| | - Meng Wu
- 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, Wuhan, Hubei 430030, P.R. China
| | - Xiyu Cao
- 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, Wuhan, Hubei 430030, P.R. China
| | - Daxiang Xiao
- 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, Wuhan, Hubei 430030, P.R. China
| | - Xiaoyi 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, Wuhan, Hubei 430030, P.R. China
| | - Xu Zhang
- 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, Wuhan, Hubei 430030, P.R. China
| | - Shangzhi Xu
- 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, Wuhan, Hubei 430030, P.R. China
| | - Xiating 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, Wuhan, Hubei 430030, P.R. China
| | - Chunrong Zhong
- 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, Wuhan, Hubei 430030, P.R. China
| | - Tianqi 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, Wuhan, Hubei 430030, P.R. China
| | - Xi Chen
- 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, Wuhan, Hubei 430030, P.R. China
| | - Li 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, Wuhan, Hubei 430030, P.R. China
| | - Yu Zhang
- 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, Wuhan, Hubei 430030, P.R. China
| | - Renjuan Chen
- 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, Wuhan, Hubei 430030, P.R. China
| | - Xuezhen Zhou
- 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, Wuhan, Hubei 430030, P.R. China
| | - Ting Xiong
- 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, Wuhan, Hubei 430030, P.R. China
| | - Yuanjue Wu
- 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, Wuhan, Hubei 430030, P.R. China
| | - Qin Gao
- 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, Wuhan, Hubei 430030, P.R. China
| | - Jiangyue Wu
- 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, Wuhan, Hubei 430030, P.R. China
| | - De 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, Wuhan, Hubei 430030, P.R. China
| | - Wenli 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, Wuhan, Hubei 430030, P.R. China
| | - Menghan Tu
- 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, Wuhan, Hubei 430030, P.R. China
| | - Huaqi Zhang
- 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, Wuhan, Hubei 430030, P.R. China
| | - Siyu 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, Wuhan, Hubei 430030, P.R. China
| | - Jin Liu
- 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, Wuhan, Hubei 430030, P.R. China
| | - Hongying Yang
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, 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, Wuhan, Hubei 430030, P.R. 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, Wuhan, Hubei 430030, P.R. China
| | - Nianhong 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, Wuhan, Hubei 430030, P.R. China
| |
Collapse
|
11
|
Single and Combined Associations of Plasma and Urine Essential Trace Elements (Zn, Cu, Se, and Mn) with Cardiovascular Risk Factors in a Mediterranean Population. Antioxidants (Basel) 2022; 11:antiox11101991. [PMID: 36290714 PMCID: PMC9598127 DOI: 10.3390/antiox11101991] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/01/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
Trace elements are micronutrients that are required in very small quantities through diet but are crucial for the prevention of acute and chronic diseases. Despite the fact that initial studies demonstrated inverse associations between some of the most important essential trace elements (Zn, Cu, Se, and Mn) and cardiovascular disease, several recent studies have reported a direct association with cardiovascular risk factors due to the fact that these elements can act as both antioxidants and pro-oxidants, depending on several factors. This study aims to investigate the association between plasma and urine concentrations of trace elements and cardiovascular risk factors in a general population from the Mediterranean region, including 484 men and women aged 18−80 years and considering trace elements individually and as joint exposure. Zn, Cu, Se, and Mn were determined in plasma and urine using an inductively coupled plasma mass spectrometer (ICP-MS). Single and combined analysis of trace elements with plasma lipid, blood pressure, diabetes, and anthropometric variables was undertaken. Principal component analysis, quantile-based g-computation, and calculation of trace element risk scores (TERS) were used for the combined analyses. Models were adjusted for covariates. In single trace element models, we found statistically significant associations between plasma Se and increased total cholesterol and systolic blood pressure; plasma Cu and increased triglycerides and body mass index; and urine Zn and increased glucose. Moreover, in the joint exposure analysis using quantile g-computation and TERS, the combined plasma levels of Zn, Cu, Se (directly), and Mn (inversely) were strongly associated with hypercholesterolemia (OR: 2.03; 95%CI: 1.37−2.99; p < 0.001 per quartile increase in the g-computation approach). The analysis of urine mixtures revealed a significant relationship with both fasting glucose and diabetes (OR: 1.91; 95%CI: 1.01−3.04; p = 0.046). In conclusion, in this Mediterranean population, the combined effect of higher plasma trace element levels (primarily Se, Cu, and Zn) was directly associated with elevated plasma lipids, whereas the mixture effect in urine was primarily associated with plasma glucose. Both parameters are relevant cardiovascular risk factors, and increased trace element exposures should be considered with caution.
Collapse
|
12
|
Chen H, Cui Z, Lu W, Wang P, Wang J, Zhou Z, Zhang N, Wang Z, Lin T, Song Y, Liu L, Huang X, Chen P, Tang G, Duan Y, Wang B, Zhang H, Xu X, Yang Y, Qin X, Song F. Association between serum manganese levels and diabetes in chinese adults with hypertension. J Clin Hypertens (Greenwich) 2022; 24:918-927. [PMID: 35748116 PMCID: PMC9278588 DOI: 10.1111/jch.14520] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 05/14/2022] [Accepted: 05/17/2022] [Indexed: 01/10/2023]
Abstract
Manganese (Mn) is an essential trace metal element that is associated with diabetes; however, the results of previous studies are inconsistent. Furthermore, few studies have been conducted in a hypertensive population. The purpose of this study is to explore the relationship between manganese and diabetes in a population with hypertension. A cross‐sectional study was conducted, including 2575 hypertensive individuals from 14 provinces in China. Serum manganese concentrations were measured by the inductively coupled plasma mass spectrometry (ICP‐MS) method. And logistic regression models were used to analyze the association between serum manganese and the risk of diabetes. The prevalence of diabetes was 27.0% in this hypertensive population. In logistic regression models, the odds ratios (95% confidence interval) for diabetes in tertile subgroups were 1.40 (1.12, 1.76) and 1.32 (1.05, 1.65) for tertiles 1 and tertiles 3, respectively, compared to tertile 2 (reference). Additionally, an interaction between sex and manganese was observed. The odds ratios (95% confidence interval) for diabetes were 1.29 (0.95, 1.75) and 0.96 (0.70, 1.31) for tertiles 1 and tertiles 3 among males, and 1.44 (1.01, 2.04) and 1.81 (1.29, 2.55) for tertiles 1 and tertiles 3 among females, respectively, compared to tertile 2. In conclusion, a U‐shaped association between serum manganese and diabetes was observed in a Chinese population with hypertension, and the association was modified by sex.
Collapse
Affiliation(s)
- Hong Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong Province, China
| | - Zhixin Cui
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong Province, China
| | - Wenhai Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong Province, China.,Pingdi Public Health Service Center, Shenzhen, China
| | - Ping Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong Province, China
| | - Jia Wang
- Department of Cardiovascular Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Ziyi Zhou
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.,Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Nan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Zhuo Wang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Tengfei Lin
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.,College of Pharmacy, Jinan University, Guangzhou, China
| | - Yun Song
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.,Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Lishun Liu
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.,Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Xiao Huang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ping Chen
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Genfu Tang
- School of Heath Administration, Anhui Medical University, Hefei, China
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, China.,Department of Clinical Laboratory, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Binyan Wang
- Shenzhen Evergreen Medical Institute, Shenzhen, China.,Institute of Biomedicine, Anhui Medical University, Hefei, China.,National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hao Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Xiping Xu
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.,Institute of Biomedicine, Anhui Medical University, Hefei, China.,National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong Province, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, Guangdong Province, PR China.,Guangdong Provincial Engineering Laboratory for Nutrition Translation, Guangzhou, Guangdong Province, PR China
| | - Xianhui Qin
- Institute of Biomedicine, Anhui Medical University, Hefei, China.,National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Fenglin Song
- School of Food Science, Guangdong Pharmaceutical University, Zhongshan, Guangdong Province, China
| |
Collapse
|
13
|
Al-Muzafar HM, Al-Hariri MT. Alterations in manganese level in the biological samples of young obese Saudi women. J Taibah Univ Med Sci 2021; 16:706-711. [PMID: 34690651 PMCID: PMC8498790 DOI: 10.1016/j.jtumed.2021.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES This study aims to evaluate the changes in serum manganese levels in the nails of women with obesity. METHODS A cross-sectional study was conducted between 2018 and 2019 at Imam Abdulrahman Bin Faisal University, KSA. It was conducted in a convenience sample of 30 women with obesity and 40 without obesity. We obtained biological samples of nails from the participants and analysed these samples using a plasma atomic emission spectrometer to estimate the levels of manganese. A standard questionnaire containing items related to demographic features, such as address, age, education, and marital status, was used. In addition, the data on the usual consumption of water, milk, and soft drinks during a day or week, eating habits, and other health information were included in the questionnaire. RESULTS The results of this study show that manganese levels are significantly lower (p < 0.001) in the group with obesity at 0.34 ± 0.06 mg/kg than in the group without obesity at 0.62 ± 0.02 mg/kg. Regular sports activity in a week and consumption of fruit, vegetables, fish, meat, and water are significant predictors of the levels of manganese in the body. CONCLUSION The study demonstrates a significant difference in the levels of manganese in the nails of obese participants compared to non-obese participants. Further studies are needed to determine whether Saudi women are at risk for manganese deficiency.
Collapse
Affiliation(s)
- Hessah M Al-Muzafar
- Department of Chemistry, College of Science, Imam Abdulrahman Bin Faisal University, Dammam, KSA
| | - Mohammed T. Al-Hariri
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, KSA
| |
Collapse
|
14
|
Retracted: Western pacific consensus proposals for management of prediabetes. Int J Clin Pract 2021; 75:e14019. [PMID: 33480067 DOI: 10.1111/ijcp.14019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 12/30/2020] [Accepted: 01/07/2021] [Indexed: 12/23/2022] Open
|
15
|
Al-Muzafar HM, Al-Hariri MT. Elements alteration in scalp hair of young obese Saudi females. ARAB JOURNAL OF BASIC AND APPLIED SCIENCES 2021. [DOI: 10.1080/25765299.2021.1911070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Affiliation(s)
- Hessah Mohammed Al-Muzafar
- Department of Chemistry, College of Science, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia
| | - Mohammed Taha Al-Hariri
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia
| |
Collapse
|
16
|
de Souza ID, Melo ESP, Nascimento VA, Pereira HS, Silva KRN, Espindola PR, Tschinkel PFS, Ramos EM, Reis FJM, Ramos IB, Paula FG, Oliveira KRW, Lima CD, Nunes ÂA, do Nascimento VA. Potential Health Risks of Macro- and Microelements in Commercial Medicinal Plants Used to Treatment of Diabetes. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6678931. [PMID: 33869633 PMCID: PMC8032537 DOI: 10.1155/2021/6678931] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 03/03/2021] [Accepted: 03/22/2021] [Indexed: 02/06/2023]
Abstract
Information on the content of medicinal plants used in the treatment of diabetes is scarce in the literature. The objectives of this study were to determine the levels of macroelements and microelements in three different medicinal plant species including the dry samples and teas from Bauhinia forficata, Eleusine Indica, and Orthosiphon stamineus and assess the human health risks of ingestion of the tea. The content of the dry samples and teas was obtained using the technique of inductively coupled plasma optical emission spectrometry (ICP OES) after microwave digestion procedure. The hazard quotient (HQ) method was used to access the human health risks posed by heavy metal through tea consumption. The results revealed the presence of K, Mg, Na, P, Al, Fe, Zn, Mn, Cu, Ni, and Se in dry samples and plant teas. The dry plants have high concentration of K and P. All dry plants contain Mg, Na, Al, Fe, Mn, Ni, Zn, and Cu above the limit permissible level set by the World Health Organization (WHO). All the hazard index (HI) values in plant teas were found to be within safe limits for human consumption (HI < 1). The plants may have possible action benefits when used in popular medicine. However, the ingestion through capsules prepared by enclosing a plant powder or teas can be harmful to the health of diabetics. The prescription of this plant for the treatment of diabetes should be treated with caution.
Collapse
Affiliation(s)
- Igor D de Souza
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Elaine S P Melo
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Valdir Aragão Nascimento
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Hugo S Pereira
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Kassia R N Silva
- Institute of Chemistry of the Federal University of Mato Grosso do Sul, Brazil
| | - Paulo R Espindola
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Paula F S Tschinkel
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Eliza M Ramos
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Francisco J M Reis
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Iara B Ramos
- Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Fernanda G Paula
- Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| | - Karla R W Oliveira
- Institute of Chemistry of the Federal University of Mato Grosso do Sul, Brazil
| | - Cleberson D Lima
- Centro de Ortopedia e Traumatologia e Medicina do Esporte, Campo Grande, MS, 79021-250, Brazil
| | - Ângela A Nunes
- Postdoctoral Student in Program in Biotechnology, Universidade Católica Dom Bosco, Campo Grande, MS 79117-900, Brazil
| | - Valter Aragão do Nascimento
- Group of Spectroscopy and Bioinformatics Applied to Biodiversity and Health, School of Medicine, Postgraduation Program in Health and Development in the Midwest Region, Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
| |
Collapse
|
17
|
Yang J, Yang A, Cheng N, Huang W, Huang P, Liu N, Bai Y. Sex-specific associations of blood and urinary manganese levels with glucose levels, insulin resistance and kidney function in US adults: National health and nutrition examination survey 2011-2016. CHEMOSPHERE 2020; 258:126940. [PMID: 32540546 DOI: 10.1016/j.chemosphere.2020.126940] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/17/2020] [Accepted: 04/29/2020] [Indexed: 06/11/2023]
Abstract
Exposures to heavy metals play a role in the etiopathogenesis of diabetes. Epidemiological studies investigating a potential sex-specific linkage between manganese (Mn) exposures and glucose homeostasis are rare. We comprehensively estimated the associations of blood and urinary Mn levels with fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), homeostasis model assessment for insulin resistance (HOMA-IR), insulin, and estimated glomerular filtration rate (eGFR) among 1417 adults in the US National Health and Nutrition Examination Survey (NHANES) 2011-2016. We further examined the potential heterogeneities by sex and joint-effects of multiple metal exposures by the Bayesian kernel machine regression (BKMR). Among women, we found positive linear relationships between urinary Mn with FPG (Poverall = 0.003, Pnonlinear = 0.817) and HbA1c (Poverall = 0.023, Pnonlinear = 0.854). Among men, J-shaped relationships were observed between blood Mn with HOMA-IR (Pnonlinear = 0.042) and insulin (Pnonlinear = 0.014). For eGFR, positive linear relationships were obserned among women for blood Mn (Pnonlinear = 0.549) and among both men and women for urinary Mn levels. The joint-effects of urinary Mn with molybdenum (Mo) on FPG and HbA1c, urinary Mn with cadmium (Cd) and cesium (Cs) on eGFR, and blood Mn with Cd and lead (Pb) on eGFR were detected. In summary, blood and urinary Mn levels were independently associated with glucose levels, insulin resistance and kidney function with potential sex-dependent heterogeneities. These findings emphasize the probable role of Mn in the regulation of glucose metabolism and kidney function, and confirm the need for more studies on sex-specific risk of diabetes.
Collapse
Affiliation(s)
- Jingli Yang
- College of Earth and Environmental Sciences, Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region
| | - Ning Cheng
- Department of Basic Medicine, Lanzhou University, Lanzhou, Gansu, China
| | - Wenya Huang
- College of Earth and Environmental Sciences, Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Peiyao Huang
- College of Earth and Environmental Sciences, Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Nian Liu
- College of Earth and Environmental Sciences, Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yana Bai
- College of Earth and Environmental Sciences, Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
| |
Collapse
|
18
|
Huang Q, Fang Q, Hu Z. A P4 Medicine Perspective of Gut Microbiota and Prediabetes: Systems Analysis and Personalized Intervention. J Transl Int Med 2020; 8:119-130. [PMID: 33062587 PMCID: PMC7534502 DOI: 10.2478/jtim-2020-0020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes (T2D) accounts for approximately 90% of diabetes worldwide and has become a global public health problem. Generally, individuals go to hospitals and get healthcare only when they have obvious T2D symptoms. While the underlying cause and mechanism of the disease are usually not well understood, treatment is for the symptoms, but not for the disease cause, and patients often continue to progress with more symptoms. Prediabetes is the early stage of diabetes and provides a good time window for intervention and prevention. However, with few symptoms, prediabetes is usually ignored without any treatment. Obviously, it is far from ideal to rely on the traditional medical system for diabetes healthcare. As a result, the medical system must be transformed from a reactive approach to a proactive approach. Root cause analysis and personalized intervention should be conducted for patients with prediabetes. Based on systems medicine, also known as P4 medicine, with a predictive, preventive, personalized, and participatory approach, new medical system is expected to significantly promote the prevention and treatment of chronic diseases such as prediabetes and diabetes. Many studies have shown that the occurrence and development of diabetes is closely related to gut microbiota. However, the relationship between diabetes and gut microbiota has not been fully elucidated. This review describes the research on the relationship between gut microbiota and diabetes and some exploratory trials on the interventions of prediabetes based on P4 medicine model. Furthermore, we also discussed how these findings might influence the diagnosis, prevention and treatment of diabetes in the future, thereby to improve the wellness of human beings.
Collapse
Affiliation(s)
- Qiongrong Huang
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou350108, Fujian Province, China
- Beijing P4 Healthcare Institute, 316 Wanfeng Road, Beijing100161, China
| | - Qiaojun Fang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing100049, China
| | - Zhiyuan Hu
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou350108, Fujian Province, China
- Beijing P4 Healthcare Institute, 316 Wanfeng Road, Beijing100161, China
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing100049, China
| |
Collapse
|
19
|
Ahmad TR, Higuchi S, Bertaggia E, Hung A, Shanmugarajah N, Guilz NC, Gamarra JR, Haeusler RA. Bile acid composition regulates the manganese transporter Slc30a10 in intestine. J Biol Chem 2020; 295:12545-12558. [PMID: 32690612 DOI: 10.1074/jbc.ra120.012792] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 07/10/2020] [Indexed: 12/11/2022] Open
Abstract
Bile acids (BAs) comprise heterogenous amphipathic cholesterol-derived molecules that carry out physicochemical and signaling functions. A major site of BA action is the terminal ileum, where enterocytes actively reuptake BAs and express high levels of BA-sensitive nuclear receptors. BA pool size and composition are affected by changes in metabolic health, and vice versa. One of several factors that differentiate BAs is the presence of a hydroxyl group on C12 of the steroid ring. 12α-Hydroxylated BAs (12HBAs) are altered in multiple disease settings, but the consequences of 12HBA abundance are incompletely understood. We employed mouse primary ileum organoids to investigate the transcriptional effects of varying 12HBA abundance in BA pools. We identified Slc30a10 as one of the top genes differentially induced by BA pools with varying 12HBA abundance. SLC30A10 is a manganese efflux transporter critical for whole-body manganese excretion. We found that BA pools, especially those low in 12HBAs, induce cellular manganese efflux and that Slc30a10 induction by BA pools is driven primarily by lithocholic acid signaling via the vitamin D receptor. Administration of lithocholic acid or a vitamin D receptor agonist resulted in increased Slc30a10 expression in mouse ileum epithelia. These data demonstrate a previously unknown role for BAs in intestinal control of manganese homeostasis.
Collapse
Affiliation(s)
- Tiara R Ahmad
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Sei Higuchi
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Enrico Bertaggia
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Allison Hung
- Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Niroshan Shanmugarajah
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Nicole C Guilz
- Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Jennifer R Gamarra
- Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| | - Rebecca A Haeusler
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA .,Naomi Berrie Diabetes Center, Columbia University, New York, New York, USA
| |
Collapse
|
20
|
Bai Y, Fu W, Guan X, Wu X, Li G, Wei W, Feng Y, Meng H, Li H, Li M, Fu M, Jie J, Wang C, Zhang X, He M, Guo H. Co-exposure to multiple metals, TERT-CLPTM1L variants, and their joint influence on leukocyte telomere length. ENVIRONMENT INTERNATIONAL 2020; 140:105762. [PMID: 32380304 DOI: 10.1016/j.envint.2020.105762] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/13/2020] [Accepted: 04/22/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Telomere is required for maintaining chromosome stability and genome integrity, while telomere length is sensitive to environmental stressors. We aimed to identify the effects of multiple metals co-exposure as well as their joint effects with TERT-CLPTM1L variants on leukocyte telomere length (LTL). METHODS This study included 842 workers from a coke-oven plant, of whom plasma concentrations of 23 metals and LTL were determined. Genetic variations in TERT-CLPTM1L were genotyped by using the Global Screening Array. Multipollutant-based statistical methods, including the Bonferroni-correction, backward elimination procedure, and LASSO penalized regression analysis, were used to select the LTL-associated metals. Generalized linear regression models were used to evaluate the joint effects of TERT-CLPTM1L variants with positive metal on LTL. RESULTS Each 1% increase in plasma concentration of manganese (Mn) was significantly associated with a 0.153% increase in LTL [β(95%CI) = 0.153(0.075, 0.230), P < 0.001] in single-metal models after Bonferroni-correction. The multiple-metal models and the LASSO penalized regression analysis both indicated Mn as the sole significant predictor for LTL. Furthermore, 5 tagSNPs (rs33954691, rs6554759, rs465498, rs2455393, and rs31489) in TERT-CLPTM1L with high plasma Mn (>4.21 μg/L) showed joint effects on increasing LTL. CONCLUSIONS Our study revealed the independent and positive association between plasma Mn and LTL when accounting for co-exposure to other metals. This effect can be further enhanced by TERT-CLPTM1L variants. These results may advance our understanding of the complex interplay between genetic and environmental factors on telomere length. Further experimental studies are warranted to elucidate the underlying mechanisms.
Collapse
Affiliation(s)
- Yansen Bai
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenshan Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiulong Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guyanan Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Wei
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hang Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengying Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiali Jie
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| |
Collapse
|
21
|
Investigation of manganese(II)-insulin complexes using electrospray ionization mass spectrometry. Int J Biol Macromol 2018; 120:557-565. [DOI: 10.1016/j.ijbiomac.2018.08.122] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 08/11/2018] [Accepted: 08/23/2018] [Indexed: 11/23/2022]
|
22
|
Du S, Wu X, Han T, Duan W, Liu L, Qi J, Niu Y, Na L, Sun C. Dietary manganese and type 2 diabetes mellitus: two prospective cohort studies in China. Diabetologia 2018; 61:1985-1995. [PMID: 29971528 DOI: 10.1007/s00125-018-4674-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 05/24/2018] [Indexed: 12/31/2022]
Abstract
AIMS/HYPOTHESIS The association between dietary Mn and type 2 diabetes is unclear. We aimed to elucidate whether dietary Mn is associated with type 2 diabetes, to investigate whether this association is independent of dietary total antioxidant capacity (TAC) and to explore the underlying mechanisms in their association. METHODS Two prospective cohorts of 3350 and 7133 Chinese adults (20-74 years old) were enrolled including, respectively, 244 and 578 individuals newly diagnosed with type 2 diabetes, with mean values of 4.2 and 5.3 years of follow-up. Cox's proportional-hazards regression and linear regression were performed to investigate the association between dietary Mn and type 2 diabetes (diagnosed by OGTT) or HbAlc and to analyse the joint association between dietary Mn and TAC. Restricted cubic spline (RCS) regression was applied to the non-linear association between dietary Mn and incidence of type 2 diabetes. Mediation analysis was applied to explore potential mediators in their association in a subgroup of 500 participants. RESULTS Dietary Mn intakes were 4.58 ± 1.04 and 4.61 ± 1.08 (mean ± SD) mg/day in the two cohorts. Dietary Mn was inversely associated with type 2 diabetes incidence and HbAlc concentration in both cohorts (ptrend < 0.01 and <0.01 for type 2 diabetes, and ptrend < 0.01 and =0.02 for HbAlc, respectively, in each cohort) independent of TAC, adjusted for age, sex, BMI, tobacco use, alcohol consumption, physical activity, diabetes inheritance, total energy, carbohydrate, total fatty acids, fibre, calcium, Mg, hypertension, hyperlipidaemia, and impaired glucose tolerance or FBG (all at baseline). Their inverse association was stronger in the presence of diets with high, compared with low, TAC. In RCS, intakes of >6.01 and 6.10-6.97 mg/day were associated with a significantly lower type 2 diabetes incidence in the two respective cohorts. Mediation analysis showed that high plasma Mn and low oxidative stress (increased Mn superoxide dismutase and decreased 8-hydroxydeoxyguanosine) contributed to the association between dietary Mn and both type 2 diabetes and HbAlc. CONCLUSIONS/INTERPRETATION Dietary Mn was inversely associated with type 2 diabetes independently of TAC. In addition, this association was stronger in a high- rather than low-TAC diet. Plasma Mn and oxidative stress were mediators in the association between dietary Mn and type 2 diabetes. Future studies on absolute Mn intake should be conducted to study the potential non-linearity and optimal levels of dietary Mn and type 2 diabetes.
Collapse
Affiliation(s)
- Shanshan Du
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Xiaoyan Wu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Tianshu Han
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Wei Duan
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Lei Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Jiayue Qi
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Yucun Niu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China
| | - Lixin Na
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
| |
Collapse
|
23
|
Mancini FR, Dow C, Affret A, Rajaobelina K, Dartois L, Balkau B, Bonnet F, Boutron-Ruault MC, Fagherazzi G. Micronutrient dietary patterns associated with type 2 diabetes mellitus among women of the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort study. J Diabetes 2018; 10:665-674. [PMID: 29457678 DOI: 10.1111/1753-0407.12654] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/09/2018] [Accepted: 02/14/2018] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Micronutrients play a key role in type 2 diabetes mellitus (T2DM), but methodological difficulties arise from their collinearity and interdependencies with foods. The aim of the present study was to identify micronutrient dietary patterns in the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort and to investigate their association with risk of T2DM. METHODS Principal component analysis was used to identify micronutrient patterns among 71 270 women from the E3N-EPIC cohort. Associations between micronutrient patterns and risk of T2DM were quantified by hazard ratios (HRs) and 95% confidence intervals (CIs) from Cox proportional hazards regression models, adjusted for potential confounders. RESULTS Six micronutrient patterns were identified explaining 78% of the total variance in micronutrient intake. A positive association was found between T2DM and a pattern highly correlated with intake of vitamins B2 and B5 (HR 1.34; 95% CI 1.16-1.56). Similarly, a positive association was found with a pattern characterized by high intakes of vitamin B12 and retinol, and a low intake of vitamin C (HR 1.30; 95% CI 1.15-1.48). An inverse association was observed between T2DM and another two patterns: one correlated with magnesium and vitamin B3 (HR 0.75; 95% CI 0.66-0.86), and the other correlated with manganese intake (HR 0.82; 95% CI 0.72-0.94). CONCLUSIONS The findings of the present study identify micronutrients that have an effect on the risk of T2DM, and enable better understanding of the complexity of the diet when investigating the association between micronutrients and T2DM.
Collapse
Affiliation(s)
- Francesca Romana Mancini
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Courtney Dow
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Aurélie Affret
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Kalina Rajaobelina
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Laureen Dartois
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Beverley Balkau
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- University Versailles-St Quentin, University Paris-Sud, Paris, France
| | - Fabrice Bonnet
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Rennes University Hospital, Rennes, France
| | - Marie-Christine Boutron-Ruault
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| | - Guy Fagherazzi
- INSERM U1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
- Gustave Roussy Institute, Paris, France
| |
Collapse
|
24
|
Sanjeevi N, Freeland-Graves J, Beretvas SN, Sachdev PK. Trace element status in type 2 diabetes: A meta-analysis. J Clin Diagn Res 2018; 12:OE01-OE08. [PMID: 29911075 DOI: 10.7860/jcdr/2018/35026.11541] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction Type 2 diabetes is a chronic metabolic disorder that has been associated with alterations in the status of trace elements, including zinc, copper, iron and manganese. However, clinical studies reporting statuses of these trace elements in type 2 diabetes patients compared to controls have shown conflicting results. Objective This meta-analysis aimed to summarize the existing literature on the statuses of zinc, copper, iron, and manganese in Type 2 diabetes mellitus patients. Methods A literature search of Embase, PubMed, EBSCOHost, ScienceDirect, Scopus, Cochrane library and Web of Science electronic databases was conducted to find studies published from 1970 to November 2016 that compared the trace elements of interest between type 2 diabetic patients and healthy controls. Keywords used were type 2 diabetes, diabetes, hyperglycemia, insulin, glucose, HbA1c, trace elements, micronutrients, zinc, manganese, copper, ceruloplasmin, iron and ferritin. The bias corrected Hedges' g, was utilized as the effect sizes. Due to the biological interaction between trace elements, it is important to collectively evaluate the statuses of these minerals in type 2 diabetes. Thus, the robust variance estimation method was chosen to handle dependency between multiple outcomes. Results A total of 52 studies met the inclusion criteria, amounting to 98 effect sizes. Diabetic patients (n=20183) had significantly lower zinc status when compared to controls (effect size = -1.73, p<0.01); whereas copper (effect size = 1.10, p<0.05) and ferritin levels (effect size = 1.05, p<0.01) were significantly higher. Although not significant, ceruloplasmin (effect size = 1.85, p=0.06) and iron (effect size = 1.42, p=0.06) levels were higher, and manganese (effect size = 0.27, p=0.34) was lower in patients. Conclusion Results from this meta-analysis indicate lower zinc status accompanied by increased copper and ferritin levels in patients with type 2 diabetes when compared to controls.
Collapse
Affiliation(s)
- Namrata Sanjeevi
- Postdoctoral Fellow, Health Behavior Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive Room 3165A, MSC 7004, Bethesda, MD 20817, USA,
| | - Jeanne Freeland-Graves
- Department of Nutritional Sciences, The University of Texas at Austin, 1 University Station A2703, Austin, TX 78712, USA,
| | - S Natasha Beretvas
- Department of Educational Psychology, The University of Texas at Austin, 1 University Station D5800, Austin, TX 78712, USA,
| | - Prageet K Sachdev
- Department of Nutritional Sciences, The University of Texas at Austin, 1 University Station A2703, Austin, TX 78712, USA,
| |
Collapse
|