Literature DB >> 29141052

Association between urinary manganese and blood pressure: Results from National Health and Nutrition Examination Survey (NHANES), 2011-2014.

Cynthia Wu1,2, Jessica G Woo1, Nanhua Zhang1.   

Abstract

Manganese is a trace mineral required for metabolism, growth and tissue formation, and reproduction. It is mainly obtained through food and water, as well as through occupational exposure. This study used data from National Health and Nutrition Examination Survey, combining the 2011-12 and 2013-14 cycles. We conducted linear regression analyses on urinary manganese and blood pressure. Significant negative associations (p<0.01) between urinary manganese and both systolic and diastolic blood pressure existed after adjusting for age, sex, body mass index, race/ethnicity, and status of taking antihypertensive medication. These results indicate that urinary manganese may play some role in blood pressure and protecting against hypertension, a major risk factor for cardiovascular disease.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 29141052      PMCID: PMC5687767          DOI: 10.1371/journal.pone.0188145

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Manganese (Mn) is a trace mineral required at low concentrations for carbohydrate and lipid metabolism, growth and reproduction, and formation of tissues, and various enzymes—including ligases and hydrolases—are Mn-dependent [1]. Normal levels of manganese are 4–15 μg/L in blood and 1–8 μg/L in urine [2]. Excess exposure can result in manganism, which has many neurological symptoms similar to those of Parkinson’s disease—tremors, clumsy gait, speech disturbances, and muscle tension. Other potential health impacts include adverse reproductive, respiratory, and developmental effects. The primary pathway of exposure for the general population is through food and water. Workers in the mining and welding industries experience occupational exposure as well. Urinary excretion levels are most indicative of recent manganese exposures, as it can exit the body relatively quickly [2]. The liver removes excess manganese from the blood, and this manganese is then excreted into the bile and urine. The urinary excretion of manganese is not correlated with age or sex, but diabetics with liver disorders or those who were not treated with insulin tend to have significantly increased excretion of manganese [3]. Despite its label as a toxic heavy metal, manganese could potentially play a role in controlling blood pressure due to its anti-oxidative function [4]. The association between manganese and blood pressure has not been well-studied and remains somewhat controversial, but several previous studies have shown that the two may be negatively associated. Lee et al. [4] evaluated daily Mn intake in the Korean adult population and found that for men, it was significantly negatively correlated with systolic blood pressure. In another study, Mn-exposed milling workers had significantly higher incidence of diastolic hypotension compared to controls [5]. Mordukhovich et al. [6] reported that manganese was negatively associated—but not significantly—with both systolic and diastolic blood pressure. In this study, we focused on urinary manganese and its relationship with blood pressure, using data from the National Health and Nutrition Examination Survey (2011–2014).

Methods

Study sample

The United States National Health and Nutrition Examination Survey (NHANES) is an annual cross-sectional survey conducted to assess the health of the population. Health interviews are conducted at the participants’ homes, and examinations and laboratory tests are also administered. The interview collects demographic, socioeconomic, and dietary data, and the exam and lab portions collect medical, dental, and physiological measurements. For this study, survey data from cycles 2011–2012 and 2013–2014 were used because previous years did not include measurements of urinary manganese. The study sample is representative of the national population.

Urinary metals and blood pressure

Participants age six and over provided urine samples in the mobile examination center (MEC). These were analyzed using mass spectrometry, and the data were recorded into a database. All participants age eight and over had their blood pressure measured; examiners are certified for blood pressure measurement. Three consecutive blood pressure readings were obtained after the participant rested quietly in a seated position for 5 minutes and once the participant’s maximum inflation level was determined; a fourth attempt was made if a blood pressure measurement was interrupted or incomplete. An average value for both systolic and diastolic blood pressure was calculated and used, following the tutorial on NHANES website. Those excluded either did not fit the cuff, or had rashes, casts, edema, paralysis, tubes, open sores/wounds, withered arms, a-v shunts, or radical mastectomy.

Covariates

Race/ethnicity was categorized as Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Asian, and Other (including Multi-Racial). Missing values for antihypertensive medication were assumed to be “not taking medication”.

Statistical analysis

The data were downloaded from the NHANES website and imported into R. The sample weights for the four years were calculated using the formula provided by NHANES. Other design features including stratification and clustering were also accounted for in all analyses. There were significant amounts of missingness in both blood pressure and urinary manganese (Table 1), with scattered missingness in the other covariates as well. The main reason for missingness was structural missingness (subjects not eligible for measurements due to age restrictions). Participants with missing outcomes or covariates were excluded from the analyses, with no subjects excluded due to missing data for age, sex, race/ethnicity or status of hypertension medication use. We compared those who were included in the analyses to those NHANES subjects who were excluded using contrast in the survey regression for continuous variables and the Rao-Scott Chi-square tests for discrete variables. Survey linear regression analyses between urinary manganese level and systolic and diastolic blood pressures were conducted. Model 1 reported the unadjusted analysis and model 2 adjusted for age, sex, race/ethnicity, body mass index (BMI), and status of taking antihypertensive medication. Pseudo R2 was calculated for both models based on deviances from the full model and the null model with intercept only [7]. All analyses were conducted using the “survey” package in R version 3.4.1.
Table 1

Characteristics of participants included in study population (N = 3853) and excluded participants (N = 15,452).

Included in AnalysisExcluded from Analysis
N (%) with dataMean ± SEN (%) with dataMean ± SEp-value (included v. excluded)*
Overall N385315,452
Urinary manganese (μg/L)38530.18 ± 0.0212650.17±0.010.55
Age (years)385337.34 ± 0.4115,45237.48±0.420.19
Body mass index (kg/m2)385325.59 ± 0.0713,24925.20±0.07<0.0001
Systolic blood pressure (mmHg)3853118.53 ± 0.1510,306118.62±0.190.49
Diastolic blood pressure (mmHg)385365.90 ± 0.1510,30665.92±0.190.83
Status of antihypertensive medication385315,452<0.0001
Not taking or Missing2732 (70.91%)13,419 (86.84%)
Taking1121 (29.09%)2033 (13.16%)
Sex385315,4520.16
Female1927 (50.01%)7820 (50.61%)
Male1926 (49.99%)7632 (49.39%)
Race/ethnicity385315,4520.51
Mexican American618 (16.04%)2404 (15.56%)
Other Hispanic369 (9.58%)1592 (10.30%)
Non-Hispanic White1294 (33.58%)5138 (33.25%)
Non-Hispanic Black959 (24.89%)3849 (24.91%)
Non-Hispanic Asian450 (11.68%)1806 (11.69%)
Other163 (4.23%)663 (4.29%)

*p-values were based on F tests in contrasting the least square means in survey regression model for continuous variables, and based on the Rao-Scott Chi-square tests for discrete variables.

*p-values were based on F tests in contrasting the least square means in survey regression model for continuous variables, and based on the Rao-Scott Chi-square tests for discrete variables.

Results

Out of the original sample size of 19305, 3853 participants were included in the study after excluding participants with missing values for the covariates and the variables of interest. The study population included 1927 females and 1926 males, and the mean age was approximately 37 years. Comparing characteristics of the participants included in the study and those excluded from the study, only BMI and status of taking antihypertensive medication resulted in significant differences (p<0.0001; Table 1). We attribute the difference between the groups’ BMI to the fact that younger children were more likely to be excluded from the study, since children under 8 did not have their blood pressure measured. Differences in medication may arise from the large number of “not taking medication” participants that were excluded, which also included missing values for this variable, again potentially due to the greater exclusion of younger children. However, approximately 29% of the study participants are “taking medication,” which is comparable to the 34% national prevalence of hypertension [8].

Urinary manganese and blood pressure

The regression models of blood pressure on urinary manganese were shown in Table 2. Using the linear regression model and adjusting for age, sex, BMI, race/ethnicity, and status of taking antihypertensive medication, the regression coefficient of urinary manganese in the regression model of systolic blood pressure remained significantly negative (-1.313± 0.174, p<0.01), with a pseudo-R2 of 0.103.
Table 2

Linear regression analysis results for urinary manganese and blood pressure.

Average Systolic Blood PressureAverage Diastolic Blood Pressure
Estimate ± S.E. *P-valueEstimate ± S.E.P-value
Intercept96.758 ± 1.700< .000147.374 ± 1.478< .0001
Urinary manganese (μg/L)-1.313 ± 0.174< .0001-1.223 ± 0.200< .0001
Age (years)0.021 ± 0.0150.17910.033 ± 0.0130.0113
Body mass index (kg/m2)0.758 ± 0.053< .00010.641 ± 0.046< .0001
Status of antihypertensive medication (Taking vs. Not taking)-0.702 ± 0.7970.3786-0.019 ± 0.7410.9795
Sex (Male vs. Female)0.960 ± 0.7510.20160.000 ± 0.6400.9994
Race/ethnicity
Mexican American1.118 ± 0.9980.26270.032 ± 0.8410.9700
Other Hispanic0.691 ± 1.1200.53720.981 ± 0.9680.3109
Non-Hispanic Black-0.173 ± 0.7960.82800.300 ± 0.6740.6560
Non-Hispanic Asian0.816 ± 1.0420.4337-0.377 ± 0.9650.6960
Other2.222 ± 1.8830.23793.187 ± 1.4290.0258
Non-Hispanic White----
pseudo- R20.10280.1018

*S.E.: Standard error.

*S.E.: Standard error. Adjusting for age, sex, BMI, race/ethnicity, and status of taking antihypertensive medication, the association between urinary manganese and diastolic blood pressure remained significantly negative (-1.223± 0.200, p<0.01), with a pseudo-R2 of 0.102.

Discussion

The 2011–2014 NHANES data from this study showed that higher urinary manganese levels were negatively and significantly associated with both systolic and diastolic blood pressure, even after adjusting for covariates. This potentially suggests that manganese protects against high blood pressure, a relationship that has been explored in previous studies but lacks strong, consistent evidence. Both Jiang and Zheng [5] and Lee et al. [4] reported negative correlations between blood pressure and manganese, although the latter studied daily intake rather than biomarkers. In another study, blood pressure was compared in male workers who were exposed to varying levels of manganese. The results showed that workers with the highest exposure had the lowest mean values of systolic blood pressure, but the same was not found with diastolic blood pressure [9]. Manganese also seems to inhibit myocardial contractions, dilate blood vessels, and induce hypotension [10]. This finding could have important implications since hypertension is a major cause of cardiovascular disease, which according to a 2017 report released by the American Heart Association [8], is still the leading cause of death in the United States. Not many studies have been conducted on manganese and its implications for treatment and prevention of cardiovascular outcomes. Oxidative stress seems to be a factor leading to hypertension because it increases vasoconstriction and disrupts endothelial function, which is important for vascular relaxation [11]. As previously stated, manganese may have anti-oxidative functions to combat this. Manganese can serve as a cofactor for superoxide dismutase (SOD) enzymes, which function to remove super oxides and other radical or reactive oxygen species. It can also form manganese-antioxidants (complexes of manganese) that function similar to SODs [12]. At this time, however, there is not enough research and evidence to know the extent of protection that manganese can provide against hypertension, and more future studies should focus on trace minerals like manganese. There are several limitations to this study. First, urinary manganese may not be the most accurate measure of Mn exposure. Because of the limited number of studies available, a standard biomarker for measuring Mn exposure has not yet been established. Previous studies suggest that manganese in blood and urine can be used to detect higher-than-normal manganese levels in groups of people, but they are not as successful in reflecting individual Mn exposure [13,14]. This could be due partly to the fact that manganese is metabolized out of the body relatively quickly. However, in Lucchini et al. [15], results showed that individual levels of blood and urinary manganese were positively correlated with exposure after exposure had stopped. In another study comparing biomarkers of Mn exposure, toenail samples seemed to be best correlated with the cumulative Mn exposure index in the expected months after exposure, based on toenail growth rates [14]. However, blood and urinary manganese were not well correlated with toenail or air exposure over the course of the workday. Second, there were missing values for urinary Mn level, BMI, blood pressure, and antihypertensive medication status; with only 20% of the original data included in the final analysis, the results should be interpreted with caution. This leads to loss of efficiency due to exclusion of a large amount of data from the main analysis and diminishes the potential effect of medication on manganese levels. However, the study still has the advantage of retaining over 3800 subjects from a nationally representative sample. The structural missingness in Mn level and blood pressure could be viewed as random missingness and should not lead to biased estimate of the association between urinary Mn level and blood pressure. The third limitation of the study is the uncontrolled nature of Mn exposure, and therefore the relationship between urinary Mn level and blood pressure should not be interpreted as causal. This cross-sectional study using data from cycles 2011–2012 and 2013–2014 may be insufficient to study the effect of Mn level on blood pressure since it does not account for the duration of manganese exposure on the outcome. Although we have captured some of the key confounders–in particular age, BMI, and status of antihypertensive medication use–we cannot exclude the possibility that unobserved confounding remains.

Conclusions

This study used two cycles of NHANES data from 2011 to 2014. Among the study population, there was a significant negative correlation between urinary manganese and systolic and diastolic blood pressure after adjusting for age, sex, BMI, race/ethnicity, and status of antihypertensive medication. Future research should focus on studying manganese and its relationship with blood pressure and cardiovascular outcomes, as well as establishing a standard biomarker of exposure for manganese.
  13 in total

Review 1.  Battles with iron: manganese in oxidative stress protection.

Authors:  J Dafhne Aguirre; Valeria C Culotta
Journal:  J Biol Chem       Date:  2012-01-13       Impact factor: 5.157

2.  Exposure to airborne manganese and arterial blood pressure.

Authors:  M Sarić; O Hrustić
Journal:  Environ Res       Date:  1975-10       Impact factor: 6.498

3.  Toenail, blood, and urine as biomarkers of manganese exposure.

Authors:  Wisanti Laohaudomchok; Xihong Lin; Robert F Herrick; Shona C Fang; Jennifer M Cavallari; David C Christiani; Marc G Weisskopf
Journal:  J Occup Environ Med       Date:  2011-05       Impact factor: 2.162

Review 4.  Cardiovascular toxicities upon manganese exposure.

Authors:  Yueming Jiang; Wei Zheng
Journal:  Cardiovasc Toxicol       Date:  2005       Impact factor: 3.231

5.  Urinary excretion of chromium, copper, and manganese in diabetes mellitus and associated disorders.

Authors:  A el-Yazigi; N Hannan; D A Raines
Journal:  Diabetes Res       Date:  1991-11

Review 6.  Manganese Toxicity Upon Overexposure: a Decade in Review.

Authors:  Stefanie L O'Neal; Wei Zheng
Journal:  Curr Environ Health Rep       Date:  2015-09

7.  Associations of toenail arsenic, cadmium, mercury, manganese, and lead with blood pressure in the normative aging study.

Authors:  Irina Mordukhovich; Robert O Wright; Howard Hu; Chitra Amarasiriwardena; Andrea Baccarelli; Augusto Litonjua; David Sparrow; Pantel Vokonas; Joel Schwartz
Journal:  Environ Health Perspect       Date:  2011-08-30       Impact factor: 9.031

8.  Relations of biomarkers of manganese exposure and neuropsychological effects among welders and ferroalloy smelters.

Authors:  Hamid Hassani; Farideh Golbabaei; Hamid Shirkhanloo; Mehdi Tehrani-Doust
Journal:  Ind Health       Date:  2015-09-30       Impact factor: 2.179

9.  Daily Copper and Manganese Intakes and Their Relation to Blood Pressure in Normotensive Adults.

Authors:  Yeon-Kyung Lee; Eun-Soon Lyu; Se-Young Oh; Hae-Ryun Park; Hee-Kyong Ro; Young-Ran Heo; Taisun Hyun; Mi-Kyeong Choi
Journal:  Clin Nutr Res       Date:  2015-10-31

Review 10.  Oxidative stress and hypertension: Possibility of hypertension therapy with antioxidants.

Authors:  Azar Baradaran; Hamid Nasri; Mahmoud Rafieian-Kopaei
Journal:  J Res Med Sci       Date:  2014-04       Impact factor: 1.852

View more
  13 in total

1.  Relationship of angiotensin converting enzyme (I/D) polymorphism (rs4646994) and coronary heart disease among a male Iraqi population with type 2 diabetes mellitus.

Authors:  Raghda N Hemeed; Fadhil J Al-Tu'ma; Dhafer A F Al-Koofee; Ahmed H Al-Mayali
Journal:  J Diabetes Metab Disord       Date:  2020-09-30

2.  A Nonlinear Relation Between Maternal Red Blood Cell Manganese Concentrations and Child Blood Pressure at Age 6-12 y: A Prospective Birth Cohort Study.

Authors:  Guoying Wang; Wan-Yee Tang; Marsha Wills-Karp; Hongkai Ji; Tami R Bartell; Yuelong Ji; Xiumei Hong; Colleen Pearson; Tina L Cheng; Xiaobin Wang
Journal:  J Nutr       Date:  2021-03-11       Impact factor: 4.687

3.  Blood Pressure Deviation from the Golden Ratio φ and All-cause Mortality: A Pythagorean View of the Arterial Pulse.

Authors:  Theodore G Papaioannou; Manolis Vavuranakis; Elias J Gialafos; Marianna Karamanou; Gregory Tsoucalas; Dimitrios A Vrachatis; Dimitrios Soulis; Danae Manolesou; Christodoulos Stefanadis; Dimitrios Tousoulis
Journal:  Int J Appl Basic Med Res       Date:  2019 Jan-Mar

4.  Serum zinc levels and multiple health outcomes: Implications for zinc-based biomaterials.

Authors:  Xinhua Qu; Hongtao Yang; Zhifeng Yu; Bo Jia; Han Qiao; Yufeng Zheng; Kerong Dai
Journal:  Bioact Mater       Date:  2020-03-31

Review 5.  Nutrients and Dietary Approaches in Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease: A Narrative Review.

Authors:  Carlos Jiménez-Cortegana; Pedro Iglesias; Josep Ribalta; Teresa Vilariño-García; Laura Montañez; Francisco Arrieta; Manuel Aguilar; Santiago Durán; Juan C Obaya; Antonio Becerra; Juan Pedro-Botet; Víctor Sánchez-Margalet
Journal:  Nutrients       Date:  2021-11-19       Impact factor: 5.717

6.  Association of Manganese Biomarker Concentrations with Blood Pressure and Kidney Parameters among Healthy Adolescents: NHANES 2013-2018.

Authors:  Maria D Politis; Jacob C Freedman; Erin N Haynes; Alison P Sanders
Journal:  Children (Basel)       Date:  2021-09-25

7.  Association of Heavy Metals with Overall Mortality in a Taiwanese Population.

Authors:  Yi-Hsueh Liu; Chih-Wen Wang; Da-Wei Wu; Wen-Hsien Lee; Ying-Chih Chen; Chiu-Hui Li; Chun-Chi Tsai; Wen-Yi Lin; Szu-Chia Chen; Chih-Hsing Hung; Chao-Hung Kuo; Ho-Ming Su
Journal:  Nutrients       Date:  2021-06-17       Impact factor: 5.717

8.  Lower Levels of Blood Zinc Associated with Intradialytic Hypertension in Maintenance Hemodialysis Patients.

Authors:  Yun Liu; Yuanyuan Zheng; Liangtao Wang; Xiaoshi Zhong; Danping Qin; Wenxuan Chen; Rongshao Tan; Yan Liu
Journal:  Biol Trace Elem Res       Date:  2020-09-15       Impact factor: 3.738

9.  Early life and adolescent arsenic exposure from drinking water and blood pressure in adolescence.

Authors:  Yu Chen; Fen Wu; Xinhua Liu; Faruque Parvez; Nancy J LoIacono; Elizabeth A Gibson; Marianthi-Anna Kioumourtzoglou; Diane Levy; Hasan Shahriar; Mohammed Nasir Uddin; Taruqul Islam; Angela Lomax; Roheeni Saxena; Tiffany Sanchez; David Santiago; Tyler Ellis; Habibul Ahsan; Gail A Wasserman; Joseph H Graziano
Journal:  Environ Res       Date:  2019-08-20       Impact factor: 8.431

10.  Serum copper levels are associated with bone mineral density and total fracture.

Authors:  Xinhua Qu; Zihao He; Han Qiao; Zanjing Zhai; Zhenyang Mao; Zhifeng Yu; Kerong Dai
Journal:  J Orthop Translat       Date:  2018-05-31       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.