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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.
Afiliação
  • Halama A; Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Qatar-Foundation, P.O Box: 24144, Doha, Qatar.
  • Kulinski M; Translational Research Institute, Academic Health System, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
  • Kader SA; Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Qatar-Foundation, P.O Box: 24144, Doha, Qatar.
  • Satheesh NJ; Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Qatar-Foundation, P.O Box: 24144, Doha, Qatar.
  • Abou-Samra AB; Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar.
  • Suhre K; Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Qatar-Foundation, P.O Box: 24144, Doha, Qatar. karsten@suhre.fr.
  • Mohammad RM; Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany. karsten@suhre.fr.
J Transl Med ; 14(1): 140, 2016 05 18.
Article em En | MEDLINE | ID: mdl-27188855
ABSTRACT

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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / Bioensaio / Desoxiglucose / Metabolômica Tipo de estudo: Observational_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Transl Med Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Qatar

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / Bioensaio / Desoxiglucose / Metabolômica Tipo de estudo: Observational_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Transl Med Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Qatar