Literature DB >> 28599708

Quantification of metabolites in dried blood spots by direct infusion high resolution mass spectrometry.

Monique G M de Sain-van der Velden1, Maria van der Ham2, Johan Gerrits3, Hubertus C M T Prinsen4, Marcel Willemsen5, Mia L Pras-Raves6, Judith J Jans7, Nanda M Verhoeven-Duif8.   

Abstract

Diagnosis and treatment of inborn errors of metabolism (IEM) require the analysis of a variety of metabolites. These compounds are usually quantified by targeted platforms. High resolution mass spectrometry (HRMS) has the potential to detect hundreds to thousands of metabolites simultaneously. A chip-based nanoelectrospray source (chip-based nanoESI) enables the direct infusion of biological samples. Major advantages of this system include high sample throughput, no sample carryover, and low sample consumption. The combination, chip-based nanoESI-HRMS enables untargeted metabolomics of biological samples but its potential for quantification of metabolites has not been reported. We investigated whether chip-based nanoESI-HRMS is suitable for quantification of metabolites in dried blood spots (DBS). After addition of internal standards, metabolites were extracted with methanol. Aliquots of each extract were analysed by chip-based nanoESI-HRMS operating in both positive and negative mode with an m/z window of 70-600 and a resolution of 140,000. Total run time was 4.5 min per sample and a full report could be generated within 40 min. Concentrations of all 21 investigated diagnostic metabolites in DBS as quantified by chip-based nanoESI-HRMS correlated well with those obtained by targeted liquid chromatography-tandem mass spectrometry. We conclude that chip-based nanoESI-HRMS is suitable for quantification.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Direct infusion; Dried blood spot; High resolution mass spectrometry

Mesh:

Substances:

Year:  2017        PMID: 28599708     DOI: 10.1016/j.aca.2017.04.038

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  10 in total

1.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

2.  High-Throughput Nanoelectrospray Ionization-Mass Spectrometry Analysis of Microfluidic Droplet Samples.

Authors:  Daniel J Steyer; Robert T Kennedy
Journal:  Anal Chem       Date:  2019-05-03       Impact factor: 6.986

3.  Pre-analytic evaluation of volumetric absorptive microsampling and integration in a mass spectrometry-based metabolomics workflow.

Authors:  Chiara Volani; Giulia Caprioli; Giovanni Calderisi; Baldur B Sigurdsson; Johannes Rainer; Ivo Gentilini; Andrew A Hicks; Peter P Pramstaller; Guenter Weiss; Sigurdur V Smarason; Giuseppe Paglia
Journal:  Anal Bioanal Chem       Date:  2017-08-17       Impact factor: 4.142

4.  The role of the clinician in the multi-omics era: are you ready?

Authors:  Clara D M van Karnebeek; Saskia B Wortmann; Maja Tarailo-Graovac; Mirjam Langeveld; Carlos R Ferreira; Jiddeke M van de Kamp; Carla E Hollak; Wyeth W Wasserman; Hans R Waterham; Ron A Wevers; Tobias B Haack; Ronald J A Wanders; Kym M Boycott
Journal:  J Inherit Metab Dis       Date:  2018-01-23       Impact factor: 4.982

Review 5.  Dried Blood Spot in Laboratory: Directions and Prospects.

Authors:  Kristina Malsagova; Artur Kopylov; Alexander Stepanov; Tatyana Butkova; Alexander Izotov; Anna Kaysheva
Journal:  Diagnostics (Basel)       Date:  2020-04-23

6.  Fatty Acid and Carnitine Metabolism Are Dysregulated in Systemic Sclerosis Patients.

Authors:  A Ottria; A T Hoekstra; M Zimmermann; M van der Kroef; N Vazirpanah; M Cossu; E Chouri; M Rossato; L Beretta; R G Tieland; C G K Wichers; E Stigter; C Gulersonmez; F Bonte-Mineur; C R Berkers; T R D J Radstake; W Marut
Journal:  Front Immunol       Date:  2020-05-22       Impact factor: 7.561

7.  Evaluation of Dried Blood Spot Sampling for Clinical Metabolomics: Effects of Different Papers and Sample Storage Stability.

Authors:  Oxana P Trifonova; Dmitri L Maslov; Elena E Balashova; Petr G Lokhov
Journal:  Metabolites       Date:  2019-11-12

8.  Untargeted metabolic analysis in dried blood spots reveals metabolic signature in 22q11.2 deletion syndrome.

Authors:  Dorinde Korteling; Marco P Boks; Ania M Fiksinski; Ilja N van Hoek; Jacob A S Vorstman; Nanda M Verhoeven-Duif; Judith J M Jans; Janneke R Zinkstok
Journal:  Transl Psychiatry       Date:  2022-03-09       Impact factor: 6.222

9.  MetaboShiny: interactive analysis and metabolite annotation of mass spectrometry-based metabolomics data.

Authors:  Joanna C Wolthuis; Stefania Magnusdottir; Mia Pras-Raves; Maryam Moshiri; Judith J M Jans; Boudewijn Burgering; Saskia van Mil; Jeroen de Ridder
Journal:  Metabolomics       Date:  2020-09-11       Impact factor: 4.290

10.  Untargeted metabolic profiling in dried blood spots identifies disease fingerprint for pyruvate kinase deficiency.

Authors:  Birgit Van Dooijeweert; Melissa H Broeks; Nanda M Verhoeven-Duif; Eduard J Van Beers; Edward E S Nieuwenhuis; Wouter W Van Solinge; Marije Bartels; Judith J Jans; Richard Van Wijk
Journal:  Haematologica       Date:  2021-10-01       Impact factor: 9.941

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.