Literature DB >> 33396510

Reproducibility of Targeted Lipidome Analyses (Lipidyzer) in Plasma and Erythrocytes over a 6-Week Period.

Marieke Loef1, Johannes H von Hegedus1, Mohan Ghorasaini2, Féline P B Kroon1, Martin Giera2, Andreea Ioan-Facsinay1, Margreet Kloppenburg1,3.   

Abstract

It is essential to measure lipid biomarkers with a high reproducibility to prevent biased results. We compared the lipid composition and inter-day reproducibility of lipid measurements in plasma and erythrocytes. Samples from 42 individuals (77% women, mean age 65 years, mean body mass index (BMI) 27 kg/m2), obtained non-fasted at baseline and after 6 weeks, were used for quantification of up to 1000 lipid species across 13 lipid classes with the Lipidyzer platform. Intraclass correlation coefficients (ICCs) were calculated to investigate the variability of lipid concentrations between timepoints. The ICC distribution of lipids in plasma and erythrocytes were compared using Wilcoxon tests. After data processing, the analyses included 630 lipids in plasma and 286 in erythrocytes. From these, 230 lipids overlapped between sample types. In plasma, 78% of lipid measurements were reproduced well to excellently, compared to 37% in erythrocytes. The ICC score distribution in plasma (median ICC 0.69) was significantly better than in erythrocytes (median ICC 0.51) (p-value < 0.001). At the class level, reproducibility in plasma was superior for triacylglycerols and cholesteryl esters while ceramides, diacylglycerols, (lyso)phosphatidylethanolamines, and sphingomyelins showed better reproducibility in erythrocytes. Although in plasma overall reproducibility was superior, differences at individual and class levels may favor the use of erythrocytes.

Entities:  

Keywords:  erythrocytes; lipids; metabolomics; plasma; reproducibility

Year:  2020        PMID: 33396510      PMCID: PMC7823270          DOI: 10.3390/metabo11010026

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  26 in total

Review 1.  Identifying new Risk Markers and Potential Targets for Coronary Artery Disease: The Value of the Lipidome and Metabolome.

Authors:  Reijo Laaksonen
Journal:  Cardiovasc Drugs Ther       Date:  2016-02       Impact factor: 3.727

2.  Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics.

Authors:  Vitali Matyash; Gerhard Liebisch; Teymuras V Kurzchalia; Andrej Shevchenko; Dominik Schwudke
Journal:  J Lipid Res       Date:  2008-02-16       Impact factor: 5.922

Review 3.  Lipidomics for studying metabolism.

Authors:  Xianlin Han
Journal:  Nat Rev Endocrinol       Date:  2016-07-29       Impact factor: 43.330

4.  Mass spectrometric analysis of lipid species of human circulating blood cells.

Authors:  Katharina Leidl; Gerhard Liebisch; Dorothea Richter; Gerd Schmitz
Journal:  Biochim Biophys Acta       Date:  2008-08-06

5.  Reliability of serum metabolite concentrations over a 4-month period using a targeted metabolomic approach.

Authors:  Anna Floegel; Dagmar Drogan; Rui Wang-Sattler; Cornelia Prehn; Thomas Illig; Jerzy Adamski; Hans-Georg Joost; Heiner Boeing; Tobias Pischon
Journal:  PLoS One       Date:  2011-06-15       Impact factor: 3.240

6.  Lipid metabolism of leukocytes in the unstimulated and activated states.

Authors:  Juan Carlos Alarcon-Barrera; Johannes H von Hegedus; Hilde Brouwers; Evelyne Steenvoorden; Andreea Ioan-Facsinay; Oleg A Mayboroda; Alejandro Ondo-Mendez; Martin Giera
Journal:  Anal Bioanal Chem       Date:  2020-02-14       Impact factor: 4.142

7.  International Ring Trial of a High Resolution Targeted Metabolomics and Lipidomics Platform for Serum and Plasma Analysis.

Authors:  J Will Thompson; Kendra J Adams; Jerzy Adamski; Yasmin Asad; David Borts; John A Bowden; Gregory Byram; Viet Dang; Warwick B Dunn; Facundo Fernandez; Oliver Fiehn; David A Gaul; Andreas Fr Hühmer; Anastasia Kalli; Therese Koal; Stormy Koeniger; Rupasri Mandal; Florian Meier; Fuad J Naser; Donna O'Neil; Akos Pal; Gary J Patti; Hai Pham-Tuan; Cornelia Prehn; Florence I Raynaud; Tong Shen; Andrew D Southam; Lisa St John-Williams; Karolina Sulek; Catherine G Vasilopoulou; Mark Viant; Catherine L Winder; David Wishart; Lun Zhang; Jiamin Zheng; M Arthur Moseley
Journal:  Anal Chem       Date:  2019-11-08       Impact factor: 6.986

8.  Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.

Authors:  John A Bowden; Alan Heckert; Candice Z Ulmer; Christina M Jones; Jeremy P Koelmel; Laila Abdullah; Linda Ahonen; Yazen Alnouti; Aaron M Armando; John M Asara; Takeshi Bamba; John R Barr; Jonas Bergquist; Christoph H Borchers; Joost Brandsma; Susanne B Breitkopf; Tomas Cajka; Amaury Cazenave-Gassiot; Antonio Checa; Michelle A Cinel; Romain A Colas; Serge Cremers; Edward A Dennis; James E Evans; Alexander Fauland; Oliver Fiehn; Michael S Gardner; Timothy J Garrett; Katherine H Gotlinger; Jun Han; Yingying Huang; Aveline Huipeng Neo; Tuulia Hyötyläinen; Yoshihiro Izumi; Hongfeng Jiang; Houli Jiang; Jiang Jiang; Maureen Kachman; Reiko Kiyonami; Kristaps Klavins; Christian Klose; Harald C Köfeler; Johan Kolmert; Therese Koal; Grielof Koster; Zsuzsanna Kuklenyik; Irwin J Kurland; Michael Leadley; Karen Lin; Krishna Rao Maddipati; Danielle McDougall; Peter J Meikle; Natalie A Mellett; Cian Monnin; M Arthur Moseley; Renu Nandakumar; Matej Oresic; Rainey Patterson; David Peake; Jason S Pierce; Martin Post; Anthony D Postle; Rebecca Pugh; Yunping Qiu; Oswald Quehenberger; Parsram Ramrup; Jon Rees; Barbara Rembiesa; Denis Reynaud; Mary R Roth; Susanne Sales; Kai Schuhmann; Michal Laniado Schwartzman; Charles N Serhan; Andrej Shevchenko; Stephen E Somerville; Lisa St John-Williams; Michal A Surma; Hiroaki Takeda; Rhishikesh Thakare; J Will Thompson; Federico Torta; Alexander Triebl; Martin Trötzmüller; S J Kumari Ubhayasekera; Dajana Vuckovic; Jacquelyn M Weir; Ruth Welti; Markus R Wenk; Craig E Wheelock; Libin Yao; Min Yuan; Xueqing Heather Zhao; Senlin Zhou
Journal:  J Lipid Res       Date:  2017-10-06       Impact factor: 5.922

9.  Targeted metabolomics identifies reliable and stable metabolites in human serum and plasma samples.

Authors:  Michaela Breier; Simone Wahl; Cornelia Prehn; Marina Fugmann; Uta Ferrari; Michaela Weise; Friederike Banning; Jochen Seissler; Harald Grallert; Jerzy Adamski; Andreas Lechner
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

10.  Evaluating a targeted multiple reaction monitoring approach to global untargeted lipidomic analyses of human plasma.

Authors:  Mostafa J Khan; Simona G Codreanu; Sandeep Goyal; Phillip A Wages; Santosh K K Gorti; Mackenzie J Pearson; Isabel Uribe; Stacy D Sherrod; John A McLean; Ned A Porter; Renã A S Robinson
Journal:  Rapid Commun Mass Spectrom       Date:  2020-11-30       Impact factor: 2.586

View more
  3 in total

1.  The Human Milk Oligosaccharide 2'-Fucosyllactose Alleviates Liver Steatosis, ER Stress and Insulin Resistance by Reducing Hepatic Diacylglycerols and Improved Gut Permeability in Obese Ldlr-/-.Leiden Mice.

Authors:  Eveline Gart; Kanita Salic; Martine C Morrison; Martin Giera; Joline Attema; Christa de Ruiter; Martien Caspers; Frank Schuren; Ivana Bobeldijk-Pastorova; Marianne Heer; Yan Qin; Robert Kleemann
Journal:  Front Nutr       Date:  2022-06-17

2.  Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring.

Authors:  Mohan Ghorasaini; Yassene Mohammed; Jerzy Adamski; Lisa Bettcher; John A Bowden; Matias Cabruja; Kévin Contrepois; Mathew Ellenberger; Bharat Gajera; Mark Haid; Daniel Hornburg; Christie Hunter; Christina M Jones; Theo Klein; Oleg Mayboroda; Mina Mirzaian; Ruin Moaddel; Luigi Ferrucci; Jacqueline Lovett; Kenneth Nazir; Mackenzie Pearson; Baljit K Ubhi; Daniel Raftery; Fabien Riols; Rebekah Sayers; Eric J G Sijbrands; Michael P Snyder; Baolong Su; Vidya Velagapudi; Kevin J Williams; Yolanda B de Rijke; Martin Giera
Journal:  Anal Chem       Date:  2021-12-03       Impact factor: 6.986

3.  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

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.