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Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay

BACKGROUND: Diabetes testing using saliva, rather than blood and urine, could facilitate diabetes screening in public spaces. We previously identified 1,5-anhydro-d-glucitol (1,5-AG) in saliva as a diabetes biomarker. The Glycomark™ assay kit is FDA approved for 1,5-AG measurement in blood. Here we...

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Autores principales: Halama, Anna, Kulinski, Michal, Kader, Sara Abdul, Satheesh, Noothan J., Abou-Samra, Abdul Badi, Suhre, Karsten, Mohammad, Ramzi M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870767/
https://www.ncbi.nlm.nih.gov/pubmed/27188855
http://dx.doi.org/10.1186/s12967-016-0897-6
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author Halama, Anna
Kulinski, Michal
Kader, Sara Abdul
Satheesh, Noothan J.
Abou-Samra, Abdul Badi
Suhre, Karsten
Mohammad, Ramzi M.
author_facet Halama, Anna
Kulinski, Michal
Kader, Sara Abdul
Satheesh, Noothan J.
Abou-Samra, Abdul Badi
Suhre, Karsten
Mohammad, Ramzi M.
author_sort Halama, Anna
collection PubMed
description BACKGROUND: Diabetes testing using saliva, rather than blood and urine, could facilitate diabetes screening in public spaces. We previously identified 1,5-anhydro-d-glucitol (1,5-AG) in saliva as a diabetes biomarker. The Glycomark™ assay kit is FDA approved for 1,5-AG measurement in blood. Here we evaluated its applicability for 1,5-AG quantification in saliva. METHODS: Using pooled saliva samples, we validated Glycomark™ assay use with a RX Daytona(+) clinical chemistry analyser. We then used this set-up to analyse 82 paired blood and saliva samples from a diabetes case–control study, for which broad mass spectrometry-based characterization of the blood and saliva metabolome was also available. Osmolality was measured to account for potential variability in saliva samples. RESULTS: The technical variability of the read-outs for the pooled saliva samples (CV = 2.05 %) was comparable to that obtained with manufacturer-provided blood surrogate quality controls (CV = 1.38–1.8 %). We found a high correlation between Glycomark assay and mass spectrometry measurements of serum 1,5-AG (r(2) = 0.902), showing reproducibility of the non-targeted metabolomics results. The significant correlation between the osmolality measurements performed at two independent platforms with the time interval of 2 years (r(2) = 0.887), also indicates the sample integrity. The assay read-out for saliva was not correlated with the mass spectrometry-based 1,5-AG saliva measurements. Comparison with the full saliva metabolome revealed a high correlation of the saliva assay read-outs with galactose. CONCLUSIONS: Glycomark™ assay read-outs for saliva were stable and replicable. However, the signal was dominated by galactose, which is biochemically similar to 1,5-AG and absent in blood. Adapting the 1,5-AG kit for saliva analysis will require enzymatic depletion of galactose. This should be feasible, since the assay already includes a similar step for glucose depletion from blood samples.
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spelling pubmed-48707672016-05-19 Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay Halama, Anna Kulinski, Michal Kader, Sara Abdul Satheesh, Noothan J. Abou-Samra, Abdul Badi Suhre, Karsten Mohammad, Ramzi M. J Transl Med Research BACKGROUND: Diabetes testing using saliva, rather than blood and urine, could facilitate diabetes screening in public spaces. We previously identified 1,5-anhydro-d-glucitol (1,5-AG) in saliva as a diabetes biomarker. The Glycomark™ assay kit is FDA approved for 1,5-AG measurement in blood. Here we evaluated its applicability for 1,5-AG quantification in saliva. METHODS: Using pooled saliva samples, we validated Glycomark™ assay use with a RX Daytona(+) clinical chemistry analyser. We then used this set-up to analyse 82 paired blood and saliva samples from a diabetes case–control study, for which broad mass spectrometry-based characterization of the blood and saliva metabolome was also available. Osmolality was measured to account for potential variability in saliva samples. RESULTS: The technical variability of the read-outs for the pooled saliva samples (CV = 2.05 %) was comparable to that obtained with manufacturer-provided blood surrogate quality controls (CV = 1.38–1.8 %). We found a high correlation between Glycomark assay and mass spectrometry measurements of serum 1,5-AG (r(2) = 0.902), showing reproducibility of the non-targeted metabolomics results. The significant correlation between the osmolality measurements performed at two independent platforms with the time interval of 2 years (r(2) = 0.887), also indicates the sample integrity. The assay read-out for saliva was not correlated with the mass spectrometry-based 1,5-AG saliva measurements. Comparison with the full saliva metabolome revealed a high correlation of the saliva assay read-outs with galactose. CONCLUSIONS: Glycomark™ assay read-outs for saliva were stable and replicable. However, the signal was dominated by galactose, which is biochemically similar to 1,5-AG and absent in blood. Adapting the 1,5-AG kit for saliva analysis will require enzymatic depletion of galactose. This should be feasible, since the assay already includes a similar step for glucose depletion from blood samples. BioMed Central 2016-05-18 /pmc/articles/PMC4870767/ /pubmed/27188855 http://dx.doi.org/10.1186/s12967-016-0897-6 Text en © The Author(s). 2016 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.
spellingShingle Research
Halama, Anna
Kulinski, Michal
Kader, Sara Abdul
Satheesh, Noothan J.
Abou-Samra, Abdul Badi
Suhre, Karsten
Mohammad, Ramzi M.
Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title_full Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title_fullStr Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title_full_unstemmed Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title_short Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
title_sort measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870767/
https://www.ncbi.nlm.nih.gov/pubmed/27188855
http://dx.doi.org/10.1186/s12967-016-0897-6
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