Skip to content

Advertisement

BMC Nutrition

Research article
Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Nutrition assessment of vitamin A and vitamin D in northeast Chinese population based-on SPE/UPLC/PDA

BMC NutritionBMC series – open, inclusive and trusted20184:12

https://doi.org/10.1186/s40795-018-0219-x

©  The Author(s). 2018

Received: 7 December 2017

Accepted: 16 March 2018

Published: 27 March 2018

Open Peer Review reports

Abstract

Background

The aims of the current study were to assess the nutritional status of 25OHD3 and retinol in a northern Chinese population using our established reliable method for the simultaneous determination of serum 25OHD3 and retinol.

Method

We established a reliable method for the simultaneous determination of 25OHD3 and retinol using SPE and UPLC/PDA; measured the serum levels of 25OHD3 and retinol in elementary school students, middle school students, and adults (n = 1181) in northern China; and assessed their nutritional status.

Results

Our method had good precision, detection limit, and linear quantitative range and could process 100 samples within 12 h. The average levels of 25OHD3 and retinol were 16.1 ± 6.7 ng/ml and 328.1 ± 117.1 ng/ml, respectively, in all samples. VD deficiency was common, with a prevalence > 60% in all three age groups, and the high prevalence of VA deficiency (26.1%) was observed only in the elementary school students.

Conclusions

Vitamin A supplementation should be considered for elementary school students, and vitamin D supplementation is highly recommended for all age groups in Harbin. Our method could be widely adopted in population-based studies and clinical practice.

Background

Deficiencies in Vitamin A (VA) and vitamin D (VD) are important public health problems and the incidences of these deficiencies remain very high throughout the world [1, 2]. Women of childbearing age and children are particularly at risk in both developing and developed countries [3]. Rapid and accurate assessments in VA and VD deficiencies were urgently needed for their detrimental effects on human health. Megavitamin therapy and indiscriminate use of vitamins may induce hypervitaminosis or toxicity from vitamins A [4] and D [5], especially dangerous during pregnancysince [6] since vitamins A and D are the fat-soluble vitamins, which are readily stored in the body. Therefore, assessments of VA and VD status at both the individual and population level are important for diagnostic and monitoring supplementation purposes [7]. For this reason, there is a need for development of reliable biomarkers for assessment of vitamin A and D nutritional status.

Measurement of the liver VA concentration is considered the best indicator of VA nutritional status, but it is not feasible in human studies [8]. In normal healthy human serum, retinol is homeostatically controlled and its concentration will not drop until body stores are significantly compromised, thus it tends to be the most used indicator in human studies [9, 10]. It was well know that 25OHD3 and 25OHD2 are the two main metabolites of VD. More and more evidences suggested a stronger biological effect of 25OHD3 than 25OHD2 in humans [11]. Furthermore, except in the case of ingestion of vitamin D2 drug preparations, serum 25OHD2 is not observed. Circulating active VD (1,25-dihydroxyvitamin D3) has a short half-life and is closely linked to parathyroid hormone production. Serum levels of 1,25-dihydroxyvitamin D3 do not reflect VD status. Therefore, serum 25OHD3 is the best and the most widely used indicator of nutritional VD status.

High-performance liquid chromatography (HPLC) and HPLC/ MS (mass spectrometer) have been used for simultaneous determination of serum 25OHD3 and retinol in serum [12–14]. Current methods, however, exhibit some disadvantages and/or limitations [7]. For instance, VA and 25OHD3 are extracted from serum by liquid–liquid extraction (LLE) [10]. Compared with solid-phase extraction (SPE), the pretreatment of serum samples by LLE requires a number of manual transfers of the sample between vials and steps, which are prone to error. Moreover, LLE is laborious, time-consuming and requires appreciable organic solvent. Therefore, SPE is now widely accepted as an attractive alternative to LLE and where there constituted sample residue is separated and analyzed by HPLC. Compared with UPLC, HPLC does require more solvent and separation takes longer [15]. As with LC, LC-MS is an accurate testing method for 25OHD3 and retinol. However, compared with LC, the cost of analysis based on LC/MS is more expensive. A rapid, accurate, and low-cost detection method for serum retinol and 25OHD3 is needed for both population studies and clinical practice.

Considering all above conditions, we developed a simple and rapid method for simultaneous determination of serum 25OHD3 and retinol using SPE, UPLC and diode array detection (PDA). Then, this method was used for the assessment of VA and VD deficiency in three age groups (aged 6–8, 11–13 and 18–65) in Harbin, China.

Methods

Establishment of a rapid detection method of vitamin a and vitamin D based-on SPE/UPLC/PDA

Reagents and chemicals

Acetonitrile and methanol (chromatographic grade) were purchased from Honeywell Burdick & Jackson (Muskegon, MI, USA). Formic acid and ethyl acetate (analytical grade) were from the Beijing Reagent Company (Beijing, China). The ultrapure water was prepared by an ultra clear system (PURELAB Ultra, Veolia Water Solutions & Technologies, France). Retinol and 25OHD3 were supplied by Sigma-Aldrich (Sigma-Aldrich Co Ltd., Shanghai, China).

Preparation of standard solutions

Stock solutions of retinol (1 mg/ml) and 25OHD3 (1 mg/ml) were prepared with ethanol and stored in amber glass vials at − 20 °C until analysis. Working solutions in acetonitrile for both standards were prepared in volumetric flasks (10 ml) in the concentration ranges, 2–100 ng/ml and 20–750 ng/ml, for 25OHD3 and retinol, respectively. The calibration curves were based on 5 concentration levels for each standard compound.

Sample preparation

First, 200 μl acetonitrile was added to each 100 μl serum sample. After shaking for 2 min, the samplewas centrifuged at 12000 rpm for 10 min at 4 °C. The supernatant and 100 μl water were both transferred to a new tube. After vortexing for 60s and centrifuging at 12000 rpm for 10 min at 4 °C, the mixed solution was transferred to SPE column (Waters OASIS HLB μ Elution plates, Waters), which had been previously activated with 200 μl ethyl acetate, 200 μl methanol, and 200 μl water. The SPE μ Elution plate was then washed with 100 μl water and 100 μl methanol (50% v/v). The fractions containing 25OHD3 and retinol were eluted from the column using 100 μl acetonitrile and collected in a 96 well sample plate. All the extraction procedures were performed under yellow light to minimize decomposition of the analytes.

UPLC/PDA conditions

Samples were analyzed using a Waters ACQUITY UPLC system equipped with an ACQUITY photodiode array (PDA) (Waters Corporation, Milford, MA, USA). Separation of the extracted sample (2 μL) was carried out with a Waters ACQUITY UPLC BEH C18 column (2.1 × 100 mm; 1.7 μm particle size) and a PDA detector. The temperature of UPLC column was maintained at 45 °C. The mobile phase was a mixture of 85% acetonitrile (eluent A) and 15% water containing 0.1% formic acid (eluent B) at a flow rate of 0.35 mL/min. The PDA detector covered the wavelength range 220–360 nm to permit simultaneous detection of retinol and 25OHD3 at 325 nm (retinol) and 256 nm (25OHD3). The sensitivity, signal linearity, precision, recovery and limits of detection and quantitation were calculated. The lower limits of detection (LLOD) and quantitation (LLOQ) were determined by serial dilutions of pooled serum containing 25OHD3 and retinol.

Intra- and inter-assay precision and accuracy

The concentrations for the quality control (QC) samples were selected to encompass the entire range of the calibration curves corresponding to the levels anticipated to occur in most samples: low (L), medium (M) and high (H). Replicate analyses (n = 6) of three QC samples were conducted to assess the intra-assay precision and accuracy. The precision was evaluated as the coefficient of variation (CV %) and the accuracy was calculated as the bias or percent deviation between the nominal and measured concentrations. The recovery of adding standard was assessed by comparing the concentrations of 25OHD3 and retinol in serum samples before and after the addition of known amounts of 25OHD3 and retinol. Five serum samples with 25OHD3 and retinol concentrations ranging from 10 to 50 and 50–400 ng/mL were used. The concentrations of 25OHD3 and retinol added to each sample were 10, 20 and 50 ng/mL, and 50, 100 and 400 ng/mL, respectively.

The linearity measuring ranges were evaluated by constructing standard curves for 25OHD3 and retinol. The response was considered to be linear if the correlation coefficient was greater than 0.99.

Verification of UPLC/PDA on a UPLS/Xevo™ TQ MSMS

Our method using SPE/UPLC/PDA requires verification through analysis on another platform or the use of external QA samples. LC-MS/MS has already been introduced as a simple, rapid, and robust reference method for the determination of steroid hormones, such as 25OHD3. Therefore, LC-MS/MS was used as the reference method to validate our established method. The 30 participants were randomly selected, pretreatment and separated the same as above method. Mobile phase A included 15% water + 2% formic acid, and mobile phase B included 85% acetonitrile + 2% formic acid. But, the serum concentrations of 25OHD3 and retinol were measured on a UPLS/Xevo™ TQ MSMS (Waters Corporation, Milford, MA, USA) in ESI positive mode. The conditions of the Xevo™ TQ MSMS are shown in Additional file 1: Table S1. To illustrate the magnitude of differences between UPLDA/PDA and UPLC/TQ MSMS, the differences, expressed as a percentage of the LC-MS/MS value, were plotted [16]. Wilcoxon matched-pairs signed-rank test was used to analyze the differences between the two methods.

Nutrition assessment of VA and VD in northeast Chinese population

Study subjects

One across-sectional study was carried out from June to July 2013 in Xiang fang district, Harbin. It is the biggest city in northern China (44 °N~ 46°N). Using the group sampling method, a total of 600 adults (aged 35–65) from Haping health service center, 274 students (aged 12–17) from Rongzhi middle school, and 307 students (aged 6–11) from Xinghua elementary school were randomly selected. A total of 1181 participants, 600 adults, 274 middle school students and 307 elementary school students were included in current students. Fasting blood samples were collected from all participants before 9:00 am after ≥10 h fasting. All blood samples were centrifuged at 2500×g for 15 min at room temperature within 30 min after collection, then the supernatant was stored at − 80 °C until measurements. Serums were pre-treated and 25OHD3 and retinol were determined by the described above method. All experiments including all relevant details were performed in accordance with relevant guidelines and regulations.

Nutrition assessment

Serum retinol and 25OHD3 were used in the assessment of VA and VD nutrition status. Sufficient, insufficient, mild deficient and deficient VA were defined as serum retinol ≥300, 200~ 300, 100~ 200, and < 100 ng/ml. Sufficiency, insufficiency, deficiency, and severe deficiency in VD were defined as serum 25OHD3 ≥ 30, 20~ 30, 10~ 20, and < 10 ng/ml.

Results

Quantitative detection of 25OHD3 and retinol based on SPE/UPLC/PDA

As shown Fig. 1, 25OHD3 and retinol were separated by UPLC C18 column in 6 min. The retention times of 25OHD3 and retinol were 1.76 and 2.16 min (Fig. 1). Acetonitrile (200 μl) was added to serum (100 μl) for deproteinization. Therefore, the polarity of the supernatant was low (acetonitrile: water ≥2:1). When sample solutions were directly transferred to the SPE column, 25OHD3 and retinol may not be completely retained on the column. To decrease the potential losses of 25OHD3 and retinol in sample processing, 100 μl water was added to the acetonitrile supernatant to decrease the polarity of the solution. Based on the same reasoning, 50% methanol was used as a second eluant. The average recoveries for 10, 20 and 50 ng/ml 25OHD3 were 97.8%, 101.7% and 94.4%, respectively. The average recoveries for 50, 100 and 400 ng/ml retinol were 98.1%, 97.2% and 96.5%, respectively. Therefore, both compounds exhibited acceptable recoveries for the Oasis HLB SPE 96-well elution plate.
Fig. 1

Chromatograms of retinol and 25OHD3

The relative standard deviation (n = 6) of the inter-day precision for 25OHD3 and retinol were 4.69% and 3.72%. The relative standard deviation of intra-day precision for 25OHD3 and retinol were 5.26% and 4.62%. Also good linearity of quantification (R2 > 0.99) were obtained over the concentration ranges 2 to100 ng/ml (25OHD3) and 25 to740 ng/ml (retinol). The regression equations were y = 0.877× + 3.6836 (Fig. 2a) and y = 0.649× − 3.1755 (Fig. 2b). The LODs for 25OHD3 and retinol were 1 ng/ml and 25 ng/ml, respectively.
Fig. 2

Calibration graphs for retinol and 25OHD3. a: retinol; b: 25OHD3

Quantitative detection of 25OHD3 and retinol by SPE/UPLC/XEVO TQ MS

The relative standard deviation (n = 6) and the inter-day precision for 25OHD3 and retinol were 3.63% and 2.15%, respectively. The relative standard deviation of the intra-day precision for 25OHD3 and retinol were 4.65% and 2.99%, respectively. Good linearity for the quantification (R2 > 0.99) was obtained over 2.5 to 100 ng/ml (25OHD3) and 4 to 800 ng/ml (VA). The regression equations were y = 14.3959× + 651.83 (VA Additional file 1: Figure S1A) and y = 15.77× − 26.52 (25OHD3 Additional file 1: Figure S1B). The LODs for 25OHD3 and retinol were 1 ng/ml and 4 ng/ml, respectively.

Comparison of UPLS/PDA and UPLC/MS

Plots of the % differences against the LC-MS/MS values were applied to 30 samples (Additional file 1: Figure S2). No significant differences (p > 0.9) in 25OHD3 and retinol were observed between UPLC/PDA and UPLC/MS by Wilcoxon matched-pairs signed-rank test. These results indicate that our method was reliable in simultaneously determining serum 25OHD3 and retinol.

Nutritional assessment of VA and VD in a northern Chinese population

Serum 25OHD3 and retinol were determined in 307 elementary school students, 274 middle school students, and 600 adults. The mean levels of serum 25OHD3 were 16.1 ± 6.7 ng/mL, 17.8 ± 7.3 ng/mL, 15.3 ± 5.7 ng/mL, and 15.4 ± 6.1 ng/mL in the entire cohort, elementary school students, middle school students, and adults, respectively (Table 1). Significant differences were observed between these three groups (P < 0.001). The means between any two groups also differed (all P-values = 0.000), except between adults and middle school students (P-values = 1.000). These results indicate that elementary school students have higher serum levels of 25OHD3 compared with middle school students and adults. As shown in Table 2, with regard to serum vitamin D, severe deficiency (< 10 ng/mL) and deficiency [(10–20) ng/mL] were detected in 12.7% and 64.7% of participants, respectively, and 19.4% and 3.2% of participants were vitamin D-insufficient [(20–30) ng/mL] and -sufficient (> 30 ng/mL). Although elementary school students had the highest serum 25OHD3 among the three groups, over 65% (8.5% severe deficiency and 58.3% deficiency) were considered deficient. Adults and middle school students were even more lacking in vitamin D.
Table 1

Serum 25OHD3 and retinol levels of all participants

Participants

25OHD3 (ng/ml)

P-value

Retinol (ng/ml)

P-value

Elementary school students

17.8 ± 7.3

0.000 a

255.5 ± 78.2

0.000 a

Middle school students

15.4 ± 6.1

0.000 b

319.8 ± 113.3

0.000 b

Adults

15.3 ± 5.7

0.000 c

369.1 ± 116.8

0.000 c

Total

16.1 ± 6.7

1.000 d

328.1 ± 117.1

0.000 d

a results of One-way ANOVA for the comparison of elementary school students, middle school students, and adults

b results of One-way ANOVA (Bonferroni correction) for the comparison with elementary school students

c results of One-way ANOVA (Bonferroni correction) for the comparison with elementary school students

d results of One-way ANOVA (Bonferroni correction) for the comparison with middle school students

Table 2

Nutrition assessment of Vitamin A in three age groups

Participants

Deficiency

Marginal deficiency

Insufficiency

Sufficiency

P-value

Elementary school students

3(1.0)

77(25.1)

143(46.6)

84(27.4)

0.000a

Middle school students

0(0)

33(12.0)

103(37.6)

138(50.4)

0.000b

Adults

0(0)

22(3.7)

156(26.0)

422(70.3)

0.000c

Total

3(0.3)

132(11.2)

402(34.0)

644(54.5)

0.000d

Note: all data were shown in n (%); deficiency: < 100 ng/ml; marginal deficiency: 100~ 200 ng/ml; insufficient: 200~ 300 ng/ml; sufficient: ≥ 300 ng/ml

a results of Chi-Square tests for the comparison of elementary school students, middle school students, and adults (the cut-off value of P is 0.05)

b results of Chi-Square tests for the comparison with elementary school students (the cut-off value of P with Bonferroni correction is 0.05/3)

c results of Chi-Square tests for the comparison with elementary school students (the cut-off value of P with Bonferroni correction is 0.05/3)

d results of Chi-Square tests for the comparison with middle school students (the cut-off value of P with Bonferroni correction is 0.05/3)

The mean levels of serum retinol were 328.1 ± 117.1 ng/mL, 255.5 ± 78.2, 319.8 ± 113.3, and 369.1 ± 116.8 ng/mL in the entire pool, elementary school students, middle school students, and adults, respectively. Based on the multiple comparisons, statistically significant differences in the means of serum retinol concentration between any two groups (all P-values = 0.000) were observed. Unlike serum 25OHD3, the highest and lowest levels of serum retinol were seen in adults and elementary school students, respectively. As shown in Tables 3, 0.3% and 11.2% of participants had levels under 100 ng/mL (deficiency) and 100~ 200 ng/mL (marginal deficiency), respectively. Also, 34.0% and 54.5% of participants had insufficient (200–300) ng/mL and sufficient (> 300 ng/mL) serum VA, respectively. More than 88% of middle school students and adults had sufficient nutritional status. However, 1.0% and 25.1% of elementary school students were considered to have deficiency and mild deficiency, respectively. The VA nutritional status of the population in Harbin was better than that of VD, and most of the population had good nutritional sufficiency.
Table 3

Nutrition assessment of Vitamin D in three age groups

Participants

Severe deficiency

Deficiency

Insufficiency

Sufficiency

P-value

Elementary school students

26(8.5)

179(58.3)

84(27.4)

18(5.9)

0.000a

Middle school students

47(17.2)

168(61.3)

53(19.3)

6(2.2)

0.001b

Adults

76(12.7)

416(69.3)

94(15.7)

14(2.3)

0.000c

Total

150(12.7)

764(64.7)

229(19.4)

38(3.2)

0.110d

Note: all data were shown in n (%); severe deficiency: < 10 ng/ml; deficiency: 10~ 20 ng/ml; insufficient: 20~ 30 ng/ml; sufficient: ≥ 30 ng/ml

a results of Chi-Square tests for the comparison of elementary school students, middle school students, and adults (the cut-off value of P is 0.05)

b results of Chi-Square tests for the comparison with elementary school students (the cut-off value of P with Bonferroni correction is 0.05/3)

c results of Chi-Square tests for the comparison with elementary school students (the cut-off value of P with Bonferroni correction is 0.05/3)

d results of Chi-Square tests for the comparison with middle school students (the cut-off value of P with Bonferroni correction is 0.05/3)

Discussion

VA and VD are essential nutrients, and insufficiency of these vitamins is associated with several acute and chronic diseases. Yet, the incidence of VA and VD deficiency has remained very high throughout the world. Among all causes of disease, it is the most frequently overlooked. Therefore, a high-throughput, low-cost method for determining retinol and 25OHD3 is needed. The key contribution of our study was the establishment of an easy and fast method for routine measurements of 25OHD3 and retinol, based on SPE and UPLC/PDA, with which we assessed the nutritional status of VA and VD in a northern Chinese population.

Based on optimized instrument parameters, our method showed good precision and excellent accuracy in simultaneously determining the metabolites of VA and VD. The average levels of retinol and 25OHD3 in serum range from 100 to 500 ng/ml and 10–35 ng/ml, respectively; thus, the sensitivity (retinol: 20 ng/ml; 25OHD3: 2 ng/ml) of this new method is satisfactory for population-based and clinical detection. Compared with LC/MC, this UPLC/PDA method is less expensive for large population studies. It also decreased the use of toxic organic solvents and shortened the sample preparation time. Samples could be prepared within 15 min, and the separation time was within 3 min. The proposed method, based on SPE/UPLC/PDA, can process 100 serum samples within 12 h. If increased capacity is required, the system can run reliably overnight, unsupervised and doubling sample throughput.

Another important advantage of this method is its lower sample volume consumption (100 μl per sample), which is an important factor analytically and clinically. Compared with liquid-liquid extraction, the cost of SPE cartridges can be offset by the savings in labor and reagent expenses. Therefore, this simple and fast method for measuring serum retinol and 25OHD3 is suitable and can be recommended for nutritional assessments in population-based studies and clinical practice.

VA and VD are necessary to maintain health, and their deficiency may cause various conditions [17]. Describing the status of VA and VD in a population has tremendous significance for public health. Serum retinol and 25OHD3 were determined in 307 elementary school students, 274 middle school students and 600 adults in this study. According to WHO standards, serum retinol concentrations are classified as ≥1.05 μmol/L (300 ng/ml) for normal, 0.70–1.05 μmol/L (200–300 ng/ml) for marginal, and < 0.70 μmol/l (200 ng/ml) for deficient. Elementary school students (aged 6–11 years) had the lowest levels of serum VA (255.5 ± 78.2 ng/ml), the highest prevalence of VA deficiency (1% deficiency; 25.1% marginal deficiency). In contrast, 12% of middle school students and 3.7% of adults were considered marginally deficient. The China National Nutrition and Health Survey (2010–2013) has estimated the prevalence of serum VA deficiency (< 200 ng/mL) to be 8.04% in 6–11-year-olds [18]. The mean levels VA in the population of Harbin City (aged 6–11 years: 255.5 ng/ml; aged 11–17 years: 319.8 ng/ml) were lower than the national mean levels (aged 6–11 years: 1.46 μmol/L (417 ng/ml); 12–17 years: 1.54 umol/L (440.4 ng/ml)). The prevalence of mild VA deficiency (25%) in the Harbin population (ages 6–11 years) was higher than the national average (16.54%). But, the prevalence of vitamin A deficiency (1% and 0%) in Harbin (ages 6–11 years and 12–17 years, respectively) was lower than the national average (8.04% and 7.18%) [19]. Previous studies have indicated that VA deficiency decreases with age [20]. Our results indicated a similar trend, wherein severe VA deficiency was only observed in younger school-age students (6–11 years), and marginal deficiency was observed in elder students (12–17 years), but there was no deficiency in adults.

VA plays an important role in the adverse effects of virus and bacterial infections [21] and as parasitic infections [22]. Vitamin A deficiency can affect immune function and lead to higher morbidity and mortality due to respiratory and digestive tract infections in children [23, 24]. Therefore, we strongly recommended appropriate VA supplementation for elementary school students in Harbin.

Previous studies have documented severe VD deficiency in all age groups worldwide. In China, the prevalence of serum 25OHD3 deficiency is higher than 50% in all age groups [25, 26], reaching 85.8%, 97%, and 89.7% in school-aged students, adolescents, and adults, respectively, in some remote and low-income regions [27–29]. The prevalence of vitamin D deficiency in schoolchildren (ages 7 to 11 y) is 56.4% in 2013 [30] and 45.85% of (ages 1 to 10 y) [31] in Harbin. The prevalence of suboptimal vitamin D (vitamin D deficiency and insufficiency) is 74.7% (ages 20 to 74 y) [32] and 87.35% (ages 1 to 10 y) [31] in Harbin. In our study, we observed a high prevalence of VD deficiency (66.8%, 78.5%, and 82.0%, respectively) was observed in elementary school students, middle school students, and adults in this study. The major natural source of vitamin D is photosynthesis in the skin following ultraviolet B solar irradiation. Harbin is located at high latitudes and in a cold region (N44–46°). The lower level of 25OHD3 from skin photosynthesis in Harbin residents can be explained in part by the shortage of sun exposure and less outdoor activity during long winters.

A small amount of VD is acquired from food. The most significant dietary sources of VD are oily fish and cod liver oil. However, the typical Harbin diet lacks these foods. Low dietary vitamin D intake, combined with the lack of skin synthesis for half of the year, is reflected in the disturbingly high prevalence of VD insufficiency throughout Harbin. Vitamin D deficiency is associated with skeletal disease, rickets [33], and osteomalacia. Several observational studies have shown that VD deficiency also increases the probability of chronic non-communicable diseases, such as stroke [34], diabetes [32], and hypertension [35, 36]. Therefore, monitoring and assessing the status of VA and VD in the population has great public health significance. Based our results, we strong recommended VD supplementation for all three age groups in Harbin.

Conclusions

Our method is a simple and rapid approach for measuring serum retinol and 25OHD3. It is reliable and can be applied in population-based studies and clinical practice. In northern China, VA deficiency is prevalent in elementary school students, and VD deficiency is common in the entire population and is a global public health problem for all age groups. Supplementing vitamin A in elementary school students and VD in all age groups is imperative for improving public health. We strongly recommend this fast and simple method for measuring VA and VD in other populations.

Abbreviations

LLE: 

Liquid–liquid extraction

MS: 

Mass spectrometer

PDA: 

Photodiode array

QC: 

Quality control

SPE: 

Solid-phase extraction

UPLC: 

Ultra-performance liquid chromatography

VA: 

Vitamin A

VD: 

Vitamin D

Declarations

Acknowledgements

Heilongjiang Province Disease Prevention and Control Center is gratefully acknowledged for their sample collection. Fan Wang is gratefully acknowledged for her polish the language.

Funding

This study was financed by National Natural Science Foundation of China (81102113) and Natural Science Foundation of Heilongjiang Province (H2015012). The funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

MQW designed the study and the analyses, wrote the manuscript. YL and CHS participated in the design of the study and and contributed to the drafting of the manuscript. HYC, SSD, JLZ and XXG participated in the sample preparation, detection and organized part of the statistical analysis. All the authors approved the final manuscript for submission.

Ethics approval and consent to participate

We carried out this study after obtaining informed written consent from study subjects and approval from the Human Research and Ethics Committee of Harbin Medical University. Informed consents were obtained from all individual participants included in the study. Participates’ under 16 years old informed consents were obtained from their parents or legal guardians.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interest.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Nangang District, People’s Republic of China

References

  1. Yang C, Chen J, Guo N, Liu Z, Yun C, Li Y, Piao J, Yang X. Comparison on the status of vitamin a in 6- to 13- year-old children between 2002 and 2012 in China. Nutr J. 2015;15(1):50.View ArticleGoogle Scholar
  2. Mc Lean E, Cogswell M, Egli I, Wojdyla D, de Benoist B. Worldwide prevalence of anaemia, WHO vitamin and mineral nutrition information system, 1993–2005. Public Health Nutr. 2009;12(4):444–54.View ArticleGoogle Scholar
  3. Organization WH: Global prevalence of vitamin a deficiency in populations at risk 1995–2005: WHO global database on vitamin a deficiency. 2009.Google Scholar
  4. Denke MA. Dietary retinol—a double-edged sword. JAMA. 2002;287(1):102–4.View ArticlePubMedGoogle Scholar
  5. Pettifor JM, Bikle DD, Cavaleros M, Zachen D, Kamdar MC, Ross FP. Serum levels of free 1, 25-dihydroxyvitamin D in vitamin D toxicity. Ann Intern Med. 1995;122(7):511–3.View ArticlePubMedGoogle Scholar
  6. Allen LH, Haskell M. Estimating the potential for vitamin a toxicity in women and young children. J Nutr. 2002;132(9 Suppl):2907S.View ArticlePubMedGoogle Scholar
  7. Mata-Granados J, Luque de Castro M, Quesada Gomez J. Inappropriate serum levels of retinol, α-tocopherol, 25 hydroxyvitamin D3 and 24, 25 dihydroxyvitamin D 3 levels in healthy Spanish adults: simultaneous assessment by HPLC. Clin Biochem. 2008;41(9):676–80.View ArticlePubMedGoogle Scholar
  8. Tanumihardjo SA. Vitamin a: biomarkers of nutrition for development. Am J Clin Nutr. 2011;94(2):658S–65S.View ArticlePubMedPubMed CentralGoogle Scholar
  9. Abrahamsson L, Andersson A. Principles of nutritional assessment. Journal of Human Nutrition & Dietetics. 2006;19(1):72–3.View ArticleGoogle Scholar
  10. De PS, Dary O. Biochemical indicators of vitamin a deficiency: serum retinol and serum retinol binding protein. J Nutr. 2002;132(9 Suppl):2895S.Google Scholar
  11. Trang HM, Cole DE, Rubin LA, Pierratos A, Siu S, Vieth R. Evidence that vitamin D3 increases serum 25-hydroxyvitamin D more efficiently than does vitamin D2. Am J Clin Nutr. 1998;68(4):854–8.View ArticlePubMedGoogle Scholar
  12. Granado-Lorencio F, Olmedilla-Alonso B, Herrero-Barbudo C, Blanco-Navarro I, Blázquez-García S, Pérez-Sacristán B. Simultaneous determination of vitamins a, E and 25-OH-vitamin D: application in clinical assessments. Clin Biochem. 2006;39(2):180–2.View ArticlePubMedGoogle Scholar
  13. Alvarez JC, De MP. Rapid and sensitive high-performance liquid chromatographic method for simultaneous determination of retinol, α-tocopherol, 25-hydroxyvitamin D_3 and 25-hydroxyvitamin D_2 in human plasma with photodiode-array ultraviolet detection. Journal of Chromatography B Biomedical Sciences & Applications. 2001;755(1–2):129–35.View ArticleGoogle Scholar
  14. Knox S, Harris J, Calton L, Wallace AM. A simple automated solid-phase extraction procedure for measurement of 25-hydroxyvitamin D3 and D2 by liquid chromatography-tandem mass spectrometry. Ann Clin Biochem. 2009;46(Pt 3):226.View ArticlePubMedGoogle Scholar
  15. Granado-Lorencio F, Herrero-Barbudo C, Blanco-Navarro I, Pérez-Sacristán B. Suitability of ultra-high performance liquid chromatography for the determination of fat-soluble nutritional status (vitamins a, E, D, and individual carotenoids). Anal Bioanal Chem. 2010;397(3):1389–93.View ArticlePubMedGoogle Scholar
  16. Roth HJ, Schmidtgayk H, Weber H, Niederau C. Accuracy and clinical implications of seven 25-hydroxyvitamin D methods compared with liquid chromatography-tandem mass spectrometry as a reference. Ann Clin Biochem. 2008;45(2):153–9.View ArticlePubMedGoogle Scholar
  17. Pakseresht M, Kolahdooz F, Gittelsohn J, Roache C, Corriveau A, Sharma S. Improving vitamin a and D intake among Inuit and Inuvialuit in Arctic Canada: evidence from the healthy foods north study. J Epidemiol Community Health. 2015;69(5):453–9.View ArticlePubMedGoogle Scholar
  18. Yang C, Chen J, Guo N, Liu Z, Yun C, Li Y, Piao J, Yang X. Comparison on the status of vitamin a in 6- to 13- year-old children between 2002 and 2012 in China. Nutr J. 2016;15(1):50.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Zhang Y, Liu XB, Yang LC, Chen J, Wang R, Yang XG, Piao JH, Mao DQ. Study on vitamin A nutritional status of 6- to 17-year-old urban children and adolescents between 2010 and 2012 in China. Chinese J Prev Med. 2017;51(2):117–20.Google Scholar
  20. Hu W, Tong S, Oldenburg B, Feng X. Serum vitamin a concentrations and growth in children and adolescents in Gansu Province, China. Asia Pac J Clin Nutr. 2001;10(1):63–6.View ArticlePubMedGoogle Scholar
  21. Semba RD. Vitamin a and immunity to viral, bacterial and protozoan infections. Proc Nutr Soc. 1999;58(3):719–27.View ArticlePubMedGoogle Scholar
  22. Almekhlafi HM, Surin J, Sallam A, Abdullah A, Mahdy M, Hasan CA. Impact of intestinal parasitic infections on vitamin a status among aboriginal schoolchildren in rural peninsular Malaysia. Am J Trop Med Hyg. 2008;79(6):346.Google Scholar
  23. Ramakrishnan U, Martorell R. The role of vitamin a in reducing child mortality and morbidity and improving growth. Salud Publica Mex. 1998;40(2):189.View ArticlePubMedGoogle Scholar
  24. Imdad A, Ahmed Z, Bhutta ZA. Vitamin A supplementation for the prevention of morbidity and mortality in infants one to six months of age. Cochrane Database Syst Rev. 2016;9:CD007480.Google Scholar
  25. Yu S, Fang H, Han J, Cheng X, Xia L, Li S, Liu M, Tao Z, Wang L, Hou L, et al. The high prevalence of hypovitaminosis D in China: a multicenter vitamin D status survey. Medicine. 2015;94(8):e585.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Wahl DA, Cooper C, Ebeling PR. A global representation of vitamin D status in healthy populations. Arch Osteoporos. 2013;8(1–2):122.View ArticlePubMedGoogle Scholar
  27. Li PL, Tian YJ, Wang YH, Zhang CZ, Gao J, Li YH, Li SJ. The prevalence of vitamin D deficiency among schoolchildren: a cohort study from Xinxiang, China. Journal of pediatric endocrinology & metabolism : JPEM. 2015;28(5–6):629–33.Google Scholar
  28. Wu F, Laslett LL, Zhang Q. Threshold effects of vitamin D status on bone health in Chinese adolescents with low calcium intake. J Clin Endocrinol Metab. 2015;100(12):4481–9.View ArticlePubMedGoogle Scholar
  29. Man PW, Meer IMVD, Lips P, Middelkoop BJC. Vitamin D status and bone mineral density in the Chinese population: a review. Arch Osteoporos. 2016;11(1):1–9.View ArticleGoogle Scholar
  30. Zhang HQ, Teng JH, Li Y, Li XX, He YH, He X, Sun CH. Vitamin D status and its association with adiposity and oxidative stress in school children. Nutrition. 2014;30(9):1040–4.View ArticlePubMedGoogle Scholar
  31. Zhang Y, Wang X, Liu Y, Qu H, Qu S, Wang W, Ren L. The GC, CYP2R1 and DHCR7 genes are associated with vitamin D levels in northeastern Han Chinese children. Swiss Med Wkly. 2012;142(2):w13636.PubMedGoogle Scholar
  32. Huang Y, Li X, Wang M, Hua N, Lima A, Ying L, Sun C. Lipoprotein lipase links vitamin D, insulin resistance, and type 2 diabetes: a cross-sectional epidemiological study. Cardiovasc Diabetol. 2013;12(1):17.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Wang M, Yang X, Ren L, Li S, He X, Wu X, Liu T, Lin L, Li Y, Sun C. Biomarkers identified by urinary Metabonomics for noninvasive diagnosis of nutritional rickets. J Proteome Res. 2014;13(9):4131–42.View ArticlePubMedGoogle Scholar
  34. Pilz S, Dobnig H, Fischer JE, Wellnitz B, Seelhorst U, Boehm BO, März W. Low vitamin D levels predict stroke in patients referred to coronary angiography. Stroke. 2008;39(9):2611.View ArticlePubMedGoogle Scholar
  35. Forman JP, Giovannucci E, Holmes MD, Bischoffferrari HA, Tworoger SS, Willett WC, Curhan GC. Plasma 25-hydroxyvitamin D levels and risk of incident hypertension. Hypertension. 2008;52(5):828.View ArticlePubMedPubMed CentralGoogle Scholar
  36. Vaidya A, Forman JP. Vitamin D and hypertension: current evidence and future directions. Hypertension. 2010;56(5):774–9.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2018

Advertisement

BMC Nutrition

ISSN: 2055-0928

Contact us