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A simultaneous quantitative method for vitamins A, D and E in human serum using liquid chromatography-tandem mass spectrometry

Overview of attention for article published in Journal of Steroid Biochemistry & Molecular Biology, February 2016
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Title
A simultaneous quantitative method for vitamins A, D and E in human serum using liquid chromatography-tandem mass spectrometry
Published in
Journal of Steroid Biochemistry & Molecular Biology, February 2016
DOI 10.1016/j.jsbmb.2016.02.019
Pubmed ID
Authors

Ali A. Albahrani, Victor Rotarou, Peter J. Roche, Ronda F. Greaves

Abstract

Non-classical roles of fat-soluble vitamins (FSVs) in many pathologies including cancer have been identified. There is also evidence of hormonal interactions between two of these vitamins, A and D. As a result of this enhanced clinical association with disease, translational clinical research and laboratory requests for FSV measurement has significantly increased. However there are still gaps in the analytical methods available for the measurement of these vitamins. This study aimed to develop a method for simultaneous quantification of 25-hydroxyvitamin-D2 (25-OHD2), 25-hydroxyvitamin-D3 (25-OHD3) and its 3-epimer (epi-OHD3), retinol and α-tocopherol in human serum using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The procedure was developed and validated across two LC-MS/MS platforms, using commercial calibrators referenced to certified reference materials, controls, and deuterated internal standards. The samples were prepared by liquid-liquid extraction prior to injection and LC separation (using a Pursuit-PFP column) on two Agilent MS/MS systems (6410 and 6490) in ESI positive mode and multiple reaction monitoring. Identification and quantification of 25-OHD3 from its 3-epimer as well as 25-OHD2, retinol and α-tocopherol were achieved. The dynamic ranges were 4-160 nmol/L for 25-OHD2 and epi-25-OHD3, 4-200 nmol/L for 25-OHD3, 0.1-4μmol/L for retinol and 4-70μmol/L for α-tocopherol with correlation (r(2)) of 0.997-0.998. Based on participation in an external quality assurance program, the overall performance of the simultaneous methods were: imprecision (CV%) and inaccuracy (average bias) 3.0% and 3.2 nmol/L, respectively, for 25-OHD3; 5.0% and 0.04μmol/L, respectively, for retinol; and 4.7% and 0.2μmol/L, respectively, for α-tocopherol. In summary, two simple LC-MS/MS methods were successfully developed and validated for the simultaneous quantification of the three vitamin D metabolites (25-OHD2, 25-OHD3 and 3-epimer of 25-OHD3) and vitamin A (retinol) and vitamin E (α-tocopherol) in serum.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Bachelor 7 13%
Researcher 7 13%
Student > Ph. D. Student 4 7%
Other 3 5%
Other 5 9%
Unknown 20 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Chemistry 4 7%
Medicine and Dentistry 3 5%
Nursing and Health Professions 2 4%
Immunology and Microbiology 2 4%
Other 12 22%
Unknown 22 40%
Attention Score in Context

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 01 March 2016.
All research outputs
#23,010,126
of 25,654,806 outputs
Outputs from Journal of Steroid Biochemistry & Molecular Biology
#2,671
of 3,009 outputs
Outputs of similar age
#270,208
of 313,697 outputs
Outputs of similar age from Journal of Steroid Biochemistry & Molecular Biology
#36
of 50 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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