U-Shaped Association Between Plasma Cobalt Levels and Type 2 Diabetes

Abstract Objectives The aim of this study was to investigate the association of plasma cobalt with newly diagnosed T2D. The potential interactions of plasma cobalt with copper and metallothioneins (MTs) polymorphisms were further evaluated. Methods A large case-control study including 4564 participants: 2282 newly diagnosed T2D cases and 2282 controls with normal glucose tolerance (NGT). Plasma cobalt and copper concentrations were measured with inductively coupled plasma mass spectrometry (ICPMS). In addition, MTs polymorphisms were genotyped in a random subset of participants (827 T2D and 827 NGT) by Agena MassArray System. Results The medians of the plasma cobalt concentrations were 1.88 μg/dL for NGT and 2.22 μg/L for T2D. A U-shaped association was observed between plasma cobalt and T2D. From the lowest to the highest quartiles of plasma cobalt, the multivariable adjusted ORs of T2D were 1.29 (1.07–1.56), 1.20 (0.99–1.45), 1.00 (reference) and 1.62 (1.34–1.96), respectively. The U-shaped association was consistently indicated in subgroups and in spline analysis with the lowest odds of T2D at the cobalt concentration of 2.00 μg/dL. There was a statistically significant interaction between plasma cobalt and copper (P < 0.01), and cobalt showed a positive association of T2D in those with the lowest tertile of plasma copper. Conclusions Both low and high levels of plasma cobalt were associated with higher odds of T2D, and the association could be modified by plasma copper concentrations. Funding Sources This work was funded by the National Key Research and Development Program of China, the Major International (Regional) Joint Research Project, the National Natural Science Foundation of China, the Young Scientists Fund of the National Natural Science Foundation of China and the China Postdoctoral Science Foundation.

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Determination of As, Cd, Ni and Pb in PM10 – comparison of different sample work-up and analysis methods/Bestimmung von As, Cd, Ni und Pb in PM10 – Vergleich verschiedener Probenaufbereitungs- und Analysenverfahren

Gefahrstoffe ◽

10.37544/0949-8036-2020-06-17 ◽

2020 ◽

Vol 80 (06) ◽

pp. 227-233 ◽

Cited By ~ 1

Author(s):

I. Beslic ◽

J. Burger ◽

F. Cadoni ◽

D. Centioli ◽

I. Kranjc ◽

...

Keyword(s):

Heavy Metals ◽

Metal Concentration ◽

Inductively Coupled Plasma ◽

Ambient Air ◽

Power Functions ◽

Joint Research ◽

Inductively Coupled ◽

Target Values ◽

Work Up

In 2015 the European Joint Research Center (JRC) for air quality in Ispra, Italy, carried out an intercomparison for the determination of PM10 and PM2.5 in ambient air. Five laboratories also analyzed the content of heavy metals (arsenic, cadmium, lead and nickel) in PM10 from filter samples collected during the intercomparison. Thus, all steps from sampling in the field to instrumental quantification of heavy metals in the laboratory could be statistically analyzed. The different techniques of sampling and sample work-up had no significant influence on the analysis results. However, the method of instrumental analysis strongly influenced them: The results of laboratories using the Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) coincided well in most cases. For laboratories using the Energy Dispersed X-Ray Fluorescence (ED-XRF) technique the uncertainty of the results strongly depended on the metal concentration. For cadmium the concentrations generally were too low for analysis by ED-XRF, for arsenic, lead and nickel the relative uncertainties decreased exponentially with increasing concentrations. The relation between metal concentration and the relative uncertainty of analysis results could be described as power functions. Analysis of lead and nickel by ED-XRF is well possible in the range of the EU limit and target values for these metals.

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The Arsenic Concentration in Saliva, Urine and Drinking Water in Endemic Arsenicosis Area in Shanyin County of Shanxi Province, China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.140.465 ◽

2011 ◽

Vol 140 ◽

pp. 465-468 ◽

Cited By ~ 5

Author(s):

Da Peng Wang ◽

San Xiang Wang ◽

Zheng Hui Wang ◽

Li Ming Zhang ◽

Jian Li ◽

...

Keyword(s):

Drinking Water ◽

Inductively Coupled Plasma ◽

Arsenic Concentration ◽

Positive Association ◽

Shanxi Province ◽

Atomic Fluorescence Spectrometry ◽

Arsenic Level ◽

Significant Positive Association ◽

Inductively Coupled ◽

Urinary Arsenic

Biological monitoring for arsenic(As) is usually based upon a determination of urine, blood, nail and hair arsenic concentration, however, saliva has been suggested as a non-invasive biological matrix for assessing exposure. To further evaluate the potential utility of saliva for arsenic biomonitoring, Atomic Fluorescence Spectrometry(AFS-230) and Inductively Coupled Plasma Mass Spectrometer (ICP-MS) were used to evaluate the concentration of arsenic in drinking water, saliva and urine in endemic arsenicosis area in Shanyin County of Shanxi Province. The results showed that the arsenic concentration in drinking water was 0.55-720.0ug/L, and there were 66.67% samples above the arsenic level (50μg/L) of standards for drinking water quality. The median value of arsenic in drinking water was 127.22 μg/L. The salivary and urinary arsenic both can reflect the exposure of arsenic in drinking water. Additionally, there was a significant positive association of salivary arsenic compared with arsenic in drinking water (r=0.674, P<0.05)and urinary arsenic(r=0.794, P<0.05). These results demonstrated that, similar to urinary arsenic, salivary arsenic also can be used as a biomarker for assessing human exposue to arsenic.

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Honey as a Candidate Reference Material for Trace Elements

Journal of AOAC International ◽

10.1093/jaoac/84.6.1972 ◽

2001 ◽

Vol 84 (6) ◽

pp. 1972-1975 ◽

Cited By ~ 7

Author(s):

Giovanni Forte ◽

Sonia D’Ilio ◽

Sergio Caroli

Keyword(s):

Trace Elements ◽

Reference Materials ◽

Inductively Coupled Plasma ◽

Certified Reference Materials ◽

Research Centre ◽

Joint Research ◽

Inductively Coupled ◽

Full Compliance ◽

Acacia Honey

Abstract The feasibility of producing and certifying new certified reference materials (CRMs) for trace elements in honey was investigated. Preliminary steps for preparation of candidate materials are performed at the Institute for Reference Materials and Measurements, Joint Research Centre of the European Commission (EC-JRC-IRMM). Two different types of honey, Acacia and Eucalyptus, were tested for determination of 10 trace elements. To each type of honey was added a given amount of high purity deionized water to obtain aqueous solutions with an acceptable degree of homogeneity which would require only minimal manipulation before analysis. Average values obtained for the trace elements by means of inductively coupled plasma-based techniques were as follows (in μg/kg ± SD): Acacia honey, As, 1.10 ± 0.20; Cd, 0.328 ± 0.035; Cr, 1.90 ± 0.22; Cu, 67.0 ± 5; Fe, 215 ± 30; Hg, < 0.75; Mn, 82.1 ± 6.2; Ni, 21.0 ± 3.0; Pb, 2.30 ± 0.25; Se, 9.10 ± 1.2; Zn, 167 ± 22; Eucalyptus honey, As, 5.99 ± 0.10; Cd, 0.592 ± 0.074; Cr, 1.50 ± 0.07; Cu, 219 ± 24; Fe, 1008 ± 114; Hg, <0.75; Mn, 1009 ± 51; Ni, 11.3 ± 1.5; Pb, 5.00 ± 0.40; Se, 5.60 ± 0.91; Zn, 791 ± 91. When these 2 pilot materials are ready, the certification project will be launched in full compliance with current rules set by EC-JRC-IRMM. If the project is successful, the new CRMs will be put primarily at the disposal of the National Reference Laboratories for trace elements.

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Relation Between Human Milk Sodium and Maternal Sodium Intake

Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences ◽

10.2478/prolas-2020-0037 ◽

2020 ◽

Vol 74 (4) ◽

pp. 232-236

Author(s):

Līva Aumeistere ◽

Inga Ciproviča ◽

Dace Zavadska ◽

Konstantīns Bavrins ◽

Anastasija Borisova

Keyword(s):

Human Milk ◽

Inductively Coupled Plasma ◽

Potassium Concentration ◽

Sodium Intake ◽

Positive Association ◽

Sodium Content ◽

Food Diary ◽

Inductively Coupled ◽

Plasma Mass Spectrometry ◽

Main Factors

AbstractSodium is an essential mineral, necessary for optimal development of an infant. However, its content in human milk is highly variable. The main factors influencing sodium content in human milk are the concentration of other osmoles (dominantly lactose) and time postpartum. It is still debatable if maternal sodium intake affects sodium content in human milk. Overall, Latvian inhabitants consume more sodium than recommended. Therefore, we aimed to analyse the relation between maternal sodium intake and human milk sodium content. In total, 64 human milk samples and food data from 64 participants were obtained. Sodium content was determined using inductively coupled plasma mass spectrometry. Food diary data was analysed using Finnish database Fineli. The results showed that median sodium content in human milk was 12.67 mg per 100 ml−1. Nevertheless, large inter-individual differences were observed (5.00–42.54 mg·100 ml−1). Sodium in-take among the participants was higher than the recommended 2000 mg per day (median intake — 2335.83 mg per day). Although a positive association was found between median maternal sodium intake and sodium content in human milk (ρ= 0.350, p = 0.010), a hierarchical multiple regression revealed that only infant’s age was a significant factor (p = 0.038), explaining 13% of the variability of sodium content in human milk. Sodium content in human milk is not influenced directly by maternal sodium intake, and other factors (such as lactose and potassium concentration in human milk not considered in the study) could potentially influence sodium content in human milk.

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