Literature DB >> 33430231

Volumetric Absorptive Microsampling of Blood for Untargeted Lipidomics.

Camilla Marasca1,2, Maria Encarnacion Blanco Arana3, Michele Protti2, Andrea Cavalli1, Laura Mercolini2, Andrea Armirotti3.   

Abstract

In the present, proof-of-concept paper, we explore the potential of one common solid support for blood microsampling (dried blood spot, DBS) and a device (volumetric absorptive microsampling, VAMS) developed for the untargeted lipidomic profiling of human whole blood, performed by high-resolution LC-MS/MS. Dried blood microsamples obtained by means of DBS and VAMS were extracted with different solvent compositions and compared with fluid blood to evaluate their efficiency in profiling the lipid chemical space in the most broad way. Although more effort is needed to better characterize this approach, our results indicate that VAMS is a viable option for untargeted studies and its use will bring all the corresponding known advantages in the field of lipidomics, such as haematocrit independence.

Entities:  

Keywords:  DBS; VAMS; lipidomics; microsampling; whole blood

Year:  2021        PMID: 33430231      PMCID: PMC7825730          DOI: 10.3390/molecules26020262

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  34 in total

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Journal:  Anal Chem       Date:  2018-05-10       Impact factor: 6.986

2.  LC-MS/MS and volumetric absorptive microsampling for quantitative bioanalysis of cathinone analogues in dried urine, plasma and oral fluid samples.

Authors:  Laura Mercolini; Michele Protti; Maria C Catapano; James Rudge; Angelo E Sberna
Journal:  J Pharm Biomed Anal       Date:  2016-02-16       Impact factor: 3.935

3.  A highly efficient, high-throughput lipidomics platform for the quantitative detection of eicosanoids in human whole blood.

Authors:  Jiao Song; Xuejun Liu; Jiejun Wu; Michael J Meehan; Jonathan M Blevitt; Pieter C Dorrestein; Marcos E Milla
Journal:  Anal Biochem       Date:  2012-10-26       Impact factor: 3.365

4.  MetaboLights: An Open-Access Database Repository for Metabolomics Data.

Authors:  Namrata S Kale; Kenneth Haug; Pablo Conesa; Kalaivani Jayseelan; Pablo Moreno; Philippe Rocca-Serra; Venkata Chandrasekhar Nainala; Rachel A Spicer; Mark Williams; Xuefei Li; Reza M Salek; Julian L Griffin; Christoph Steinbeck
Journal:  Curr Protoc Bioinformatics       Date:  2016-03-24

5.  Quantitative analysis of enasidenib in dried blood spots of mouse blood using an increased-sensitivity LC-MS/MS method: Application to a pharmacokinetic study.

Authors:  Sreekanth Dittakavi; Rakesh Kumar Jat; Ramesh Mullangi
Journal:  Biomed Chromatogr       Date:  2019-02-07       Impact factor: 1.902

6.  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

7.  Dynamic and temporal assessment of human dried blood spot MS/MSALL shotgun lipidomics analysis.

Authors:  Fei Gao; Justice McDaniel; Emily Y Chen; Hannah E Rockwell; Jeremy Drolet; Vivek K Vishnudas; Vladimir Tolstikov; Rangaprasad Sarangarajan; Niven R Narain; Michael A Kiebish
Journal:  Nutr Metab (Lond)       Date:  2017-03-20       Impact factor: 4.169

8.  Plasma lipidomics as a diagnostic tool for peroxisomal disorders.

Authors:  Katharina Herzog; Mia L Pras-Raves; Sacha Ferdinandusse; Martin A T Vervaart; Angela C M Luyf; Antoine H C van Kampen; Ronald J A Wanders; Hans R Waterham; Frédéric M Vaz
Journal:  J Inherit Metab Dis       Date:  2017-12-05       Impact factor: 4.982

9.  MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.

Authors:  Bo Burla; Makoto Arita; Masanori Arita; Anne K Bendt; Amaury Cazenave-Gassiot; Edward A Dennis; Kim Ekroos; Xianlin Han; Kazutaka Ikeda; Gerhard Liebisch; Michelle K Lin; Tze Ping Loh; Peter J Meikle; Matej Orešič; Oswald Quehenberger; Andrej Shevchenko; Federico Torta; Michael J O Wakelam; Craig E Wheelock; Markus R Wenk
Journal:  J Lipid Res       Date:  2018-08-16       Impact factor: 5.922

10.  Untargeted Mass Spectrometry Lipidomics identifies correlation between serum sphingomyelins and plasma cholesterol.

Authors:  Pierre Zalloua; Hanane Kadar; Essa Hariri; Layal Abi Farraj; Francois Brial; Lyamine Hedjazi; Aurelie Le Lay; Alexandre Colleu; Justine Dubus; David Touboul; Fumihiko Matsuda; Mark Lathrop; Jeremy K Nicholson; Marc-Emmanuel Dumas; Dominique Gauguier
Journal:  Lipids Health Dis       Date:  2019-02-02       Impact factor: 3.876

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  2 in total

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Journal:  Molecules       Date:  2022-09-01       Impact factor: 4.927

2.  Analytical considerations for reducing the matrix effect for the sphingolipidome quantification in whole blood.

Authors:  Dezhen Wang; Peining Xu; Clementina Mesaros
Journal:  Bioanalysis       Date:  2021-06-10       Impact factor: 2.681

  2 in total

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