| Title |
Hair Trace Elements in Overweight and Obese Adults in Association with Metabolic Parameters
|
|---|---|
| Published in |
Biological Trace Element Research, March 2018
|
| DOI | 10.1007/s12011-018-1282-5 |
| Pubmed ID | |
| Authors |
Margarita G. Skalnaya, Anatoly V. Skalny, Andrey R. Grabeklis, Eugeny P. Serebryansky, Vasily A. Demidov, Alexey A. Tinkov |
| Abstract |
The objective of the present study was to investigate the level of toxic and essential trace elements in hair of adult overweight and obese persons as well as its association with metabolic parameters. Hair trace element levels were assessed using inductively coupled plasma mass-spectrometry in 112 overweight and obese patients and 106 lean controls. Serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), glucose, uric acid (UA) levels, and cholinesterase (CE) and gamma-glutamyltransferase (GGT) activity were also assessed. Excessive body weight significantly affected hair trace element levels. In particular, hair Co (33%), Cu (13%), I (30%), Mg (2-fold), Mn (25%), Zn (17%), and Ni (21%) levels were lower, whereas Al (14%) and As levels were higher in comparison to those in the control group. Correlation analysis demonstrated the most significant correlations for hair Mg with body weight, BMI, systolic and diastolic blood pressure, and UA, and for hair Al with body weight, BMI, TC, glucose, TG, CE, GGT, and UA. Multiple regression analysis demonstrated that trace elements were not associated with TC and LDL-C levels neither in crude nor in adjusted models. In turn, crude and adjusted models accounted for 25 and 43% of serum TG variance. The most significant associations were observed for hair Al, Fe, Si, and V in adjusted model. The obtained data demonstrate that obesity-related metabolic disorders may be at least partially mediated by altered trace element and mineral levels. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 April 2018.
All research outputs
#19,597,115
of 24,993,752 outputs
Outputs from Biological Trace Element Research
#1,450
of 2,242 outputs
Outputs of similar age
#248,009
of 336,888 outputs
Outputs of similar age from Biological Trace Element Research
#13
of 30 outputs
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.