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A Quantitative Point-of-Need Assay for the Assessment of Vitamin D(3) Deficiency

Vitamin D is necessary for the healthy growth and development of bone and muscle. Vitamin D deficiency, which is present in 42% of the US population, is often undiagnosed as symptoms may not manifest for several years and long-term deficiency has been linked to osteoporosis, diabetes and cancer. Cur...

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Detalles Bibliográficos
Autores principales: Vemulapati, S., Rey, E., O’Dell, D., Mehta, S., Erickson, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658325/
https://www.ncbi.nlm.nih.gov/pubmed/29074843
http://dx.doi.org/10.1038/s41598-017-13044-5
Descripción
Sumario:Vitamin D is necessary for the healthy growth and development of bone and muscle. Vitamin D deficiency, which is present in 42% of the US population, is often undiagnosed as symptoms may not manifest for several years and long-term deficiency has been linked to osteoporosis, diabetes and cancer. Currently the majority of vitamin D testing is performed in large-scale commercial laboratories which have high operational costs and long times-to-result. Development of a low-cost point-of-need assay could be transformative to deficiency analysis in limited-resource settings. The best biomarker of vitamin D status, 25hydroxyvitamin D(3) (25(OH)D(3)), however, is particularly challenging to measure in such a format due to complexities involved in sample preparation, including the need to separate the marker from its binding protein. Here we present a rapid diagnostic test for the accurate, quantitative assessment of 25(OH)D(3) in finger-stick blood. The assay is accompanied by a smartphone-assisted portable imaging device that can autonomously perform the necessary image processing. To achieve accurate quantification of 25(OH)D(3), we also demonstrate a novel elution buffer that separates 25(OH)D(3) from its binding protein in situ, eliminating the need for sample preparation. In human trials, the accuracy of our platform is 90.5%.