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Available online at www.sciencedirect.com
ScienceDirect journal homepage: www.elsevier.com/locate/etap
Reference values of elements in human hair: A systematic review Marcin Mikulewicz a,∗ , Katarzyna Chojnacka b , Thomas Gedrange c , Henryk Górecki b a b c
Department of Dentofacial Orthopeadics and Orthodontics, Medical University of Wrocław, Poland Institute of Inorganic Technology and Mineral Fertilizers, Wrocław University of Technology, Poland Department of Orthodontics, Technische Universität Dresden, Germany
a r t i c l e
i n f o
a b s t r a c t
Article history:
Background: The lack of systematic review on reference values of elements in human hair
Received 22 June 2013
with the consideration of methodological approach. The absence of worldwide accepted
Received in revised form
and implemented universal reference ranges causes that hair mineral analysis has not
13 September 2013
become yet a reliable and useful method of assessment of nutritional status and exposure
Accepted 20 September 2013
of individuals.
Available online 30 September 2013
Objectives: Systematic review of reference values of elements in human hair. Data sources: PubMed, ISI Web of Knowledge, Scopus.
Keywords:
Study eligibility criteria: Humans, hair mineral analysis, elements or minerals, reference val-
Hair mineral analysis
ues, original studies.
Reference ranges
Results: The number of studies screened and assessed for eligibility was 52. Eventually,
Reference values
included in the review were 5 papers. The studies report reference ranges for the content of elements in hair: macroelements, microelements, toxic elements and other elements. Reference ranges were elaborated for different populations in the years 2000–2012. The analytical methodology differed, in particular sample preparation, digestion and analysis (ICP-AES, ICP-MS). Consequently, the levels of hair minerals reported as reference values varied. Conclusions: It is necessary to elaborate the standard procedures and furtherly validate hair mineral analysis and deliver detailed methodology. Only then it would be possible to provide meaningful reference ranges and take advantage of the potential that lies in Hair Mineral Analysis as a medical diagnostic technique. © 2013 Elsevier B.V. All rights reserved.
1.
Introduction
Biomonitoring has recently been approved by obligatory law as technique which assesses the impact of chemical elements present in the environment on living organisms (The EU Water Framework Directive (2000/60/WE), U.S. EPA-600/479-049. August 1979). In the case of human biomonitoring, only non-invasive matrices, e.g. hair, urine, saliva can be used. Hair
∗
provides information on prolonged, not momentary exposure (U.S. EPA). Hair mineral analysis (HMA) has also became an interesting diagnostic tool in biomonitoring of exposure to toxic elements, in the assessment of health and nutritional status (Li et al., 2011). Among all available surveys, different methodological approaches (selection of population, sampling, samples preparation, analytical methods) can be found. Consequently, it appears that the results (reference ranges and values) from
Corresponding author at: ul. Krakowska 26, 50-425 Wrocław, Poland. Tel.: +48 71 784 02 99. E-mail address:
[email protected] (M. Mikulewicz). 1382-6689/$ – see front matter © 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.etap.2013.09.012
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different studies (or commercial laboratories) are difficult to compare and it is hard to draw meaningful conclusions (Dongarrà et al., 2011). Although, many of commercial laboratories provide the service of HMA and each has established its own reference ranges which are not comparable. Some papers even doubt whether the results of HMA determined by these laboratories are reliable and meaningful (Drasch and Roider, 2002). Reference values (RV’s) and Reference intervals (ranges) (RI’s) were defined by International Federation of Clinical Chemistry (IFCC) (Poulsen et al., 1997). Reference range (standard range) is defined as the prediction interval between which 95% of values of a reference group is found. RVs concern healthy subjects and use reference groups and are also called normal ranges or normal values. Specific ranges are made for each sex, age group, race, etc. (Poulsen et al., 1997). Basing on the available scientific literature it must be understood that the determination of reference ranges is a complicated task and is essential if HMA would be useful and interpretable. In elaboration of reference intervals, the populations should be additionally divided into subgroups according to: gender, age, ethnicity, type of hair (curly or straight), geographical location (Rodushkin et al., 2000; Chojnacka et al., 2006; Gellein et al., 2008; Kempson and Lombi, 2011). Many factors that can affect the reference ranges may influence the final outcome. It seems that a transfer of data obtained in one population may not be meaningful to another. The results should be permanently updated along with modernization of the available analytical instruments (Druyan et al., 1998). Reliable reference intervals which are comparable have not been reported, yet. The rationale for the present systematic review is the lack of the review of reference values, to bring perspective (by comparing the methodology and results) toward the development of useful values that can be used to interpret individual results HMA.
2.
Materials and methods
Information sources: PubMed, ISI Web of Knowledge and Scopus (access 2000-01-01–2013-02-14). Full electronic search strategy for PubMed and other two databases was as follows: ((hair[Title]) AND (“reference values” or “reference interval”[Title])) AND (minerals or elements or metal[Title]). The following eligibility criteria were considered for study characteristics: humans, hair mineral analysis, elements or minerals, reference values, original studies. The report characteristics were as follows: publication since the year 2000, language: English, published papers. Exclusion criteria: language (other than English), hair (other than human scalp), analytes (other than chemical elements), reported results (other than reference ranges), results reported less than 5 elements, less than 120 participants in the population. The included papers were read carefully by two independent readers. The outcomes were compared. The data items were defined: methodology, studied population, references ranges for macroelements, essential and other trace elements and toxic elements. The following assumptions were used for assessing the risk of bias in individual studies: the number of individuals in the studied
population, sample preparation methodology, non-adequate analytical techniques, exposed population (occupationally or environmentally). Only healthy individuals were considered. The results of studies were combined in the tables which included: methodology (sampling, laboratory preparation, digestion, dilution, analysis), population (N, age, sex, country, year, comment), reference values (reference range (lower and upper percentile)). The study was written according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines for systematic reviews.
3.
Results
PubMed yielded 52, ISI Web of Knowledge – 10 papers, Scopus retrieved 13 papers. Papers from latter two databases were covered by PubMed. Abstracts of all retrieved papers were read and on this basis 5 papers (Dongarrà et al., 2011; Senofonte et al., 2000; Park et al., 2007; Vanaelst et al., 2012; Carneiro et al., 2011a,b) (Table 1) were included in the present systematic review and 47 papers (Table 1) were excluded (Fig. 1 and Appendix References) for the following reasons: language, different matrices, sampling before the year 2000, not healthy participants, ≤5 elements, no reference values in original work, less than 120 individuals in the population. Finally, 5 studies were included in the systematic review. For each study data were combined and reported in Tables 2–6. The methodology of sample preparation differed between the studies considerably (Table 2). The mass of samples varied in the range 0.02–1.3 g. The mass of sample depended on the analytical technique. ICP-MS required ca. 0.1 g, while ICP-AES ca. 0.5 g because of higher detection limits of the latter technique. The laboratory sample preparation approach also varied, as well as the composition of digestion solution. Alternate washing with water and acetone was the most common. Sometimes laboratories used additional washing steps: with ethyl ether, EDTA, TMAH, USN bath. Digestion in microwave oven was practiced in 3 cases. In the remaining studies, incubation for different periods of time was undertaken, sometimes in elevated temperature. Generally HNO3 was used or a mixture of HNO3 and H2 O2 in various proportions. After digestion, the samples were diluted with different volumes of water (0.1–50 ml). Afterwards the samples underwent multielemental analysis (with either ICP-AES or ICP-MS). The studied populations concerned different number of individuals (137–655) and age (children and teenagers, geographical locations (all continents except Africa) – generally urban populations). The research was performed in the years 2000–2012. All the populations were from urban areas and included only healthy volunteers. In some cases the groups was divided according to gender. In the elaboration of reference ranges, different percentiles were considered – the most commonly 5–95 and 10–90. Hair was analyzed for the content of macroelements (Table 3), essential trace elements (Table 4), toxic elements (Table 5) and other trace elements (Table 6). The values reported by different laboratories differed considerably. The results related to reference ranges from different laboratories yielded sometimes contradictory
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Table 1 – Studies included and excluded from the review with the reasons. Study
Reason
Included 1 2 3 4 5
Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Vanaelst et al. (2012) Carneiro et al. (2011a,b)
Fulfilled inclusion criteria Fulfilled inclusion criteria Fulfilled inclusion criteria Fulfilled inclusion criteria Fulfilled inclusion criteria
Excluded 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
´ Wozniak et al. (2012) Lee et al. (2012) Carraro et al. (2012) Afridi et al. (2012a) Afridi et al. (2012b) Suliburska (2011) Elenge et al. (2011) Carneiro et al. (2011a,b) Benderli Cihan and Oztürk Yıldırım (2011) Chojnacka et al. (2011) Li et al. (2011) Chojnacka et al. (2010) Liu et al. (2008) Farias et al. (2008) Vaghri et al. (2008) Gray et al. (2008) Błach-Legawiec et al. (2002) Zerbino and Solomenchuk (2007) Dunicz-Sokolowska et al. (2006a) Dunicz-Sokolowska et al. (2006b) Chojnacka et al. (2006) Asano et al. (2005) Goullé et al. (2005) Hamilton and Schweinsberg (2004) Johnsson et al. (2004) McDowell et al. (2004) Pereira et al. (2004) Samanta et al. (2004) Klevay et al. (2004) Hac´ et al. (2003) Tang et al. (2003) Hinwood et al. (2003) Mortada et al. (2002) Black et al. (2002) Lech (2002) Gill et al. (2002) Santos et al. (2002) Asano et al. (2002) Li and Kuo (2002) Soares et al. (2002) Drasch and Roider (2002) Li et al. (2001) Watts and Mercola (2001) Goldberg and Silapunt (2001) Seidel et al. (2001) Ono and Tateshita (2000) Lukasiak et al. (2000)
Not healthy Other than human Language ≤5 elements ≤5 elements ≤5 elements Less than 120 participants Different material (nails) Not healthy ≤5 elements Centenarians Less than 120 participants ≤5 elements Portuguese ≤5 elements Other than human Language Language Sampling since 1994 Sampling since 1994 Less than 120 participants Other than human Less than 120 participants Language ≤5 elements ≤5 elements No reference values ≤5 elements No reference values ≤5 elements ≤5 elements ≤5 elements ≤5 elements ≤5 elements ≤5 elements ≤5 elements ≤5 elements, other than human Other than human ≤5 elements ≤5 elements Review Other than human Letter to the Editor; Authors response Other topic No reference values Other topic ≤5 elements
interpretation concerning the deficiency or excess (e.g. Ca, Mg and many other elements). The differences are related with diversified washing procedures and analytical techniques.
4.
Discussion
Hair is included in reticulo-endothelial system of tissues. Elements are irreversibly incorporated and this is a part of
excretory mechanism for metabolic elimination (Chojnacka et al., 2010). Elements bound in hair have both endogenous and exogenous origin (Senofonte et al., 2000). Exogenously bound elements do not necessarily originate from external deposition. The extra-epithelial portion is exposed to washing, drying, chemical alteration, cosmetics, environmental pollutants present in the environment (water or air) and other chemical and physical factors. Consequently, the elements
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Idenficaon
e n v i r o n m e n t a l t o x i c o l o g y a n d p h a r m a c o l o g y 3 6 ( 2 0 1 3 ) 1077–1086
Records idenfied through database searching (n = 51 )
Addional records idenfied through other sources (n = 1 )
Included
Eligibility
Screening
Records aer duplicates removed (n =52 )
Records screened (n =15 )
Records excluded (n = 37 )
Full-text arcles assessed for eligibility (n = 5 )
Full-text arcles excluded, with reasons (n = 10 )
Studies included in systemac review (n = 5 )
Fig. 1 – PRISMA flow diagram.
can be either adsorbed or desorbed by the hair. Therefore washing techniques and sample preparation procedures do not necessarily should aim to remove only elements bound on the surface of hair.
Reference ranges in diagnostics usually report physiologically normal lower and upper limits. However, in HMA these ranges are elaborated statistically and represent the most probable values for healthy individuals (Druyan et al., 1998).
Table 2 – Methodology of human hair samples preparation and analysis. Ref.
Sampling (g)
Laboratory preparation
Senofonte et al. (2000)
0.1–1.3
Dongarrà et al. (2011)
0.15
Park et al. (2007)
2–5
3 + 1 (v/v) ethyl ether + acetone, 85 ◦ C 1 h, 5% EDTA 1 h, water, 85 ◦ C, 16 h Sequence acetone–water–water– water–acetone, 20 ml acetone or water, USN bath – 15 min, 40 ◦ C, 24 h Demineralized water
Vanaelst et al. (2012)
0.1
Carneiro et al. (2011a,b)
0.02
TMAH, tetramethylammonium hydroxide.
Acetone + ultrapure water in USN bath; rinsing with MilliQ Water Acetone/water/acetone
Digestion
Dilution
Analysis
5 ml HNO3 + 1 ml H2 O2 , MW oven
20 ml
ICP-AES
3 ml HNO3 (24 h), 0.5 ml H2 O2 (24 h)
25 ml
ICP-MS
HNO3 (as in Rodushkin et al., 2000) 1 ml (14 M HNO3 + 9.8 M H2 O2 ), MW oven 1 ml 25% m/v TMAH overnight
(as in Rodushkin et al., 2000)
ICP-MS
n.a.
ICP-MS
up to 10 ml, 1% (v/v) HNO3
ICP-MS
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Table 3 – Reference values for macroelements levels in human hair (mg/kg). Ref.
Reference range Lower
Upper
Ca Park et al. (2007)
120
365
Vanaelst et al. (2012)
160
1460
Mg Senofonte et al. (2000) Park et al. (2007) Vanaelst et al. (2012) P Senofonte et al. (2000) Vanaelst et al. (2012) Na Vanaelst et al. (2012)
7.4 6 8.67
Percentile Lower
Upper Values within 90% of the confidence interval 90
10
72.9 24 65.3
Population N
Age
Sex
Country
655
3–6
F/M
Korea
218
6–10
F
Belgium
3–15 3–6 6–10
F/M F/M F
Italy Korea Belgium
5
95
10
90
411 655 218
96 108
299 173
5 10
95 90
412 218
3–15 6–10
F/M F
Italy Belgium
2
123
10
90
50
6–10
F
Belgium
Table 4 – Reference values for essential trace elements levels in human hair (mg/kg). Ref.
Reference range
Percentile
Lower
Upper
Cr Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007)
0.08 0.001 0.20
4.56 0.48 0.90
5 2.5
Co Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.03 0.01 0.01 0.001
2.95 1.20 0.02 0.017
5 2.5
Cu Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Vanaelst et al. (2012)
7.2 9.1 8 10.1
82.7 59.7 36 46.6
Fe Senofonte et al. (2000) Park et al. (2007) Vanaelst et al. (2012)
5.9 7 3.66
Mn Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.04 0.002 0.10 0.03
0.77 0.91 0.60 0.75
Mo Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.04 0.0001 0.04 0.024
0.98 1.78 0.10 0.19
Se Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.30 0.13 0.50 0.03
1.51 1.28 1.00 0.20
64 96.86 30 150
228 329.19 130 327
Zn Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Vanaelst et al. (2012)
36.8 21 17.3
Lower
10
5 2.5
Upper
N
Age
Sex
Country
95 97.5
160 131 655
3–15 11–13 3–6
F/M F/M F/M
Italy Italy Korea
95 97.5
137 136 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
412 135 655 218
3–15 11–13 3–6 6–10
F/M F/M F/M F
Italy Italy Korea Belgium
408 655 218
3–15 3–6 6–10
F/M F/M F
Italy Korea Belgium
378 133 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
195 135 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
327 134 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
411 130 655 218
3–15 11–13 3–6 6–10
F/M F/M F/M F
Italy Italy Korea Belgium
90
95 97.5
10
90
5
95
10
90
5 2.5 10
5 2.5 10
5 2.5 10
5 2.5 10
Population
95 97.5 90
95 97.5 90
95 97.5 90
95 97.5 90
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Table 5 – Reference values for toxic elements levels in human hair (mg/kg). Ref.
Reference range
Percentile
Lower
Upper
Al Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007)
2.4 0.01 3
20.0 12.75 16
5 2.5
Sb Dongarrà et al. (2011) Carneiro et al. (2011a,b)
0.0002 0.0003
0.11 0.02
As Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.14 0.0003 0.05 0.0011
0.24 0.03 0.20 0.016
Ba Dongarrà et al. (2011) Park et al. (2007)
0.18 0.10
2.70 0.70
Bi Park et al. (2007)
0
0.10
Cd Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
0.04 0.0004 0.01 0.0003
0.61 0.16 0.20 0.0128
Pb Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007) Carneiro et al. (2011a,b)
1.0 0.28 0.008
19.8 3.03 <3 0.34
Hg Park et al. (2007) Carneiro et al. (2011a,b)
0 0.009
1 0.42
Ni Senofonte et al. (2000) Dongarrà et al. (2011)
0.07 0.036
3.40 1.75
Lower
Population
Upper
N
Age
Sex
Country
95 97.5
412 131 655
3–15 11–13 3–6
F/M F/M F/M
Italy Italy Korea
2.5 10
97.5 90
135 167
11–13 12–18
F/M F/M
Italy Brazil
5 2.5
95 97.5
263 130 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
130 655
11–13 3–6
F/M F/M
Italy Korea
655
3–6
F/M
Korea
168 132 655 167
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
3–15 11–13 3–6 12–18
F/M F/M F/M F/M
Italy Italy Korea Brazil
10
90
2.5
97.5
5 2.5
95 97.5
10
90
5 2.5
95 97.5
10
90
358 129 655 167
10
90
655 167
3–6 12–18
F/M F/M
Korea Brazil
95 97.5
263 131
3–15 11–13
F/M F/M
Italy Italy
5 2.5
Consequently, the reference intervals are the values found in a specified fraction of the reference population (Druyan et al., 1998). Reference ranges are determined by statistical means and reflect lower and upper fractiles in the population. However, reference values consider the elements which do not play any important role in human organism, for which lower level is not reported (e.g. Hg, As, Pb, Cd).
For these elements only the upper limit (reference value) is provided. There are certain standards for evaluation of reference ranges. IFCC recommends to work on a population of at least 120 participants. The Federation defines 0.95 central interfractile interval as between 0.025 and 0.975. Coverage interval predicts with defined probability if a future observation will be
Table 6 – Reference values for other trace elements levels in human hair (mg/kg). Ref.
Reference range Lower
Upper
Percentile Lower
Upper
Population N
Age
Sex
Country
Li Dongarrà et al. (2011) Park et al. (2007)
0.001 0.01
0.56 0.02
2.5
97.5
131 655
11–13 3–6
F/M F/M
Italy Korea
Sr Senofonte et al. (2000) Dongarrà et al. (2011)
0.31 1.11
3.65 12.72
5 2.5
95 97.5
186 132
3–15 11–13
F/M F/M
Italy Italy
V Senofonte et al. (2000) Dongarrà et al. (2011) Park et al. (2007)
0.04 0.001 0.04
4.13 0.21 0.13
5 2.5
95 97.5
156 132 655
3–15 11–13 3–6
F/M F/M F/M
Italy Italy Korea
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found within this interval. Coverage interval gives information on the precision of the estimated interval (Poulsen et al., 1997; Geffre et al., 2009). Meaningfulness of reference ranges depends also on analytical methods (reliability and limitations), sampling, sensitivity, accuracy and precision (Druyan et al., 1998). Analytical techniques of determination of elements in hair are ICP-AES (major and minor elements) and ICP-MS (minor and trace elements) (Miekeley et al., 1998). In the case of many elements, the normal concentration ranges depend on the used analytical technique. Analytical techniques of determination of trace elements have been improved recently and their precision, reliability and detection limits increased (Carneiro et al., 2011a,b). Reference ranges were reported also by Goullé et al. (2005) and Chojnacka et al. (2010), although the number of individuals in the studied population was lower: 45 and 117 participants, respectively. In the paper of Goullé et al. (2005), the study was undertaken in Quebec, Canada in the year 2005 on healthy volunteers, the age and sex were not reported. The study of Chojnacka et al. (2010) was performed, in urban area (Wrocław city, Poland) in 2010 on healthy volunteers, 24 with colored hair, females and males. The analytical procedures were as follows: sampling, g (0.025 (Goullé et al., 2005), 0.5 (Chojnacka et al., 2010), laboratory preparation (warm water + acetone (Goullé et al., 2005), neutral shampoo (Chojnacka et al., 2010)), digestion (0.25 ml HNO3 , 70 ◦ C, 1 h (Goullé et al., 2005); 5 ml HNO3 , MW oven (Chojnacka et al., 2010)), dilution (0.1 ml added to 3.9 ml (Goullé et al., 2005), 50 g (Chojnacka et al., 2010)), analysis (ICP-MS (Goullé et al., 2005), ICP-OES (macroelements), ICP-MS (microelements and toxic elements) (Chojnacka et al., 2010)). The reported reference ranges concerned 5–95 (Goullé et al., 2005) and 10–90 (Chojnacka et al., 2010) percentile. The reference ranges reported by Goullé et al. (2005) (G) and Chojnacka et al. (2010) (C) were as follows, respectively (mg/kg): Ag (G: 0.02–1.31; C: 0.036–0.801) Al (G: 0.26–5.30; C: 3.60–14.69;) As (G: 0.03–0.08; C: 0.686–1.025) B (G: 0.26–1.87; C: 0.000–2.986) Ba (G: 0.05–1.58) Be (G: 0.003–0.012) Bi (G: 0.0004–0.14; C: 0.000–0.839) Ca (C: 733–4047) Cd (G: 0.004–0.17; C: 0.058–0.124)) Co (G: 0.004–0.14; C: 0.775–0.985) Cr (G: 0.11–0.52; C:0.91–1.53) Se (G: 0.37–1.37) Sn (G: 0.007–0.34; C: 0.00–7.99) Sr (G: 0.17–4.63; C: 1.05–9.46)
Cu (G: 9.0–61.3; C: 8.51–34.97) Fe (C: 16.9–29.6) Ge (G: 0.001–0.039) Hg (G: 0.31–1.66; C: 0.063–0.437) Li (G:0.003–0.042; C: 0.000–0.203)) Mg (C: 36.3–147.1) Mn (G: 0.016–0.57; C: 0.459–1.046) Mo (G: 0.01–0.028; C: 0.000–0.831) Ni (G: 0.08–0.90; C: 0.508–1.534) Pb (G: 0.13–4.57; C: 1.24–5.25) Sb (G: 0.003–0.13; C: 0.000–1.527) V (G: 0.001–0.051; C: 0.641–1.182) Zn (C: 140–371) Zn (G: 129–209)
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Literature reports that for some elements statistically significant differences between hair of females and males were observed. However, seldomly, reference ranges consider gender. Senofonte et al. (2000), found differences in RVs for (p < 0.05): Ca, males, 140–876, females 178–1324, Mg, males 6.2–47.1, females 10–106, Ni, males 0.06–2.00, females 0.12–6.09, Sr, males 0.29–2.19, females 0.45–4.52 mg/kg. Dongarrà et al. (2011) pointed out differences in other elements between sexes (p < 0.001): Al males 0.01–12.75, females 3.55–13.46, Ba males 0.03–2.82, females 0.45–2.70, Cr males 0.0001–0.54, females 0.001–0.28, Li males 0.001–0.76, females 0.001–0.18, Sb males 0.0002–0.15, females 0.0002–0.11, Sr males 0.75–9.78, females 2.48–13.41, V males 0.001–0.23, females 0.022–0.17, Zn 69.56–269.77, females 128.34–347.40 mg/kg. Also, Carneiro et al. (2002) considered the effect of gender: Carneiro et al. (2002): Ag males < 0.2, females < 0.5, Ni males < 0.40, females < 0.90, as well as Chojnacka et al. (2010) (p < 0.1): Ba males 0.379–1.894, females 0.849–4.963, Ca males 625–2229, females 1255–4542, Cu males 8.5–16.1, females 5.9–50.9, K males 32.3–133.4, females 8.9–50.9, Mg males 31.6–106.4, females 44.4–183.2, Mn males 0.436–0.829, females 0.464–1.144, Sr males 0.73–4.21, females 1.83–10.70 mg/kg. The elements for which statistically significant differences were found in RVs between the genders include mainly metals that form divalent cations: alkaline earth metals (Ca, Mg, Sr, Ba) and microelements (Zn, Cu, Mn, Ni). PubMed database retrieved over 630 scientific papers on HMA until now. There are also some books available (Preedy, 2012). Despite continued interest of researchers in this technique, until now the implementation of this method to diagnostic standards as well as in national biomonitoring systems has not occurred (Heller-Zeisler et al., 1998; Kempson et al., 2010; Pichini et al., 1997; Mortada et al., 2002; Dipietro et al., 1989; CLSI, 2008). Until now, the research focused on the method and its potential applications, on comparisons of hair with other matrices (pointing out its advantages and disadvantages), as well as factors influencing the contents of elements in hair (Heller-Zeisler et al., 1998). Using currently available techniques for sensitive and rapid multielemental analysis (very recent improvement of sensitivity of ICP-OES technique), in a short time and at low cost it is possible to get information about the contents of several elements in the hair (Kempson et al., 2010; Mortada et al., 2002). The problem seems to be the interpretation of these results and the attempts to modify the samples preparation procedure. Until now the problem needs to be solved is the differentiation between elements deposited from inside of the organism and the external environment (water, cosmetics, atmospheric deposition) (Kempson et al., 2010). There is still lack of studies that correlate hair as a noninvasive matrix with invasive matrices (Mortada et al., 2002). The problem that remains concerns, e.g. windows of detection for blood and urine and the time shift between hair and invasive matrices. The latter samples should be collected two months before hair sampling. Hair mineral analysis can still be considered a useful tool for interpreting individual results as well as health/disease. It is significant to take into account the geographical location of the population (Amaral et al., 2008).
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Hair mineral analysis and its relation with human health are still being investigated. The levels of various minerals in respect with the probability of different diseases are being linked, however the mechanisms by which stress impacts the levels of minerals in hair still require explanation. The examples of recent studies on HMA were briefly reviewed here. This shows the up-to-date direction of the research on HMA. Yamada et al. (2013) conducted a cohort study on usefulness of hair mineral in prevention of atopic dermatitis in infants. The effect of deficiency of Se and Sr on the prob˛ et al. ability of atopic dermatitis was found. Rebacz-Maron (2013) investigated the interaction between the blood pressure and content of Fe, Ca, Mg, Zn, Cu, Na and K. The concept of the study was that the mineral imbalance could be one of the factors causing hypertension. Vanaelst et al. (2013) linked chronic stress and the levels of minerals in hair. The outcome of the study was that increased level of Ca/Mg was related with chronic stress of children. Al-Farsi et al. (2013) combined the level of toxic metals with autism in children. The presence of increased levels of toxic metals was related with reduced contents of essential minerals and yielded higher probability of autism. The studies on methodology of hair mineral analysis are still being conducted which shows that improvements in this area are still required. Kempson and Skinner (2012) undertaken study on the effect of washing method on internal and external levels of elements in hair. Washing procedures reduced both external and internal levels of minerals. To validate HMA, its standardization is required: analytical methods in hair mineral analysis, preparation of samples, analytical methods, Certified Reference Materials. Only if the standard procedure proposed, universal and meaningful reference values can be elaborated which enable a hair mineral analysis to become a useful diagnostic tool. There is a need for elaboration of human hair Certified Reference Materials which are indispensable in validation of analytical procedures of HMA.
5.
Conclusions
The present review for Reference Ranges of elements in hair identified 52 reports of which only 5 met IFCC criteria and inclusion criteria. Therefore, it is essential to revise the approach toward elaboration of reference values according to IFCC standards. The lack of standard procedures in the elaboration of reference values of minerals in hair was underlined. More work in the field of HMA is required, because until now, no universal reference ranges have been elaborated. The reason for this is the lack of clear guidance on the methodology for the selection of the population, sampling, their preparation and digestion, as well as analysis. Only after such standardization it will be possible to standardize the procedures of HMA technique.
Conflicts of interest The authors declare that there are no conflicts of interest.
Acknowledgements This research was financially supported by The National Centre for Research and Development in Poland (N R130006 10) and grant MODAS entitled: “Production and attestation of new types of reference materials crucial for achieving European accreditation for polish industrial laboratories” attributed by the National Center for Research and Development.
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