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Journal Abstract Search

148 related items for PubMed ID: 31074987

  • 1. An Integrated Analysis of Metabolites, Peptides, and Inflammation Biomarkers for Assessment of Preanalytical Variability of Human Plasma.
    Cao Z, Kamlage B, Wagner-Golbs A, Maisha M, Sun J, Schnackenberg LK, Pence L, Schmitt TC, Daniels JR, Rogstad S, Beger RD, Yu LR.
    J Proteome Res; 2019 Jun 07; 18(6):2411-2421. PubMed ID: 31074987
    [Abstract] [Full Text] [Related]

  • 2. Differences in metabolite profiles caused by pre-analytical blood processing procedures.
    Nishiumi S, Suzuki M, Kobayashi T, Yoshida M.
    J Biosci Bioeng; 2018 May 07; 125(5):613-618. PubMed ID: 29258730
    [Abstract] [Full Text] [Related]

  • 3. Quality markers addressing preanalytical variations of blood and plasma processing identified by broad and targeted metabolite profiling.
    Kamlage B, Maldonado SG, Bethan B, Peter E, Schmitz O, Liebenberg V, Schatz P.
    Clin Chem; 2014 Feb 07; 60(2):399-412. PubMed ID: 24305685
    [Abstract] [Full Text] [Related]

  • 4. Effects of pre-analytical processes on blood samples used in metabolomics studies.
    Yin P, Lehmann R, Xu G.
    Anal Bioanal Chem; 2015 Jul 07; 407(17):4879-92. PubMed ID: 25736245
    [Abstract] [Full Text] [Related]

  • 5. Preanalytical aspects and sample quality assessment in metabolomics studies of human blood.
    Yin P, Peter A, Franken H, Zhao X, Neukamm SS, Rosenbaum L, Lucio M, Zell A, Häring HU, Xu G, Lehmann R.
    Clin Chem; 2013 May 07; 59(5):833-45. PubMed ID: 23386698
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  • 8. Metabolomic Quality Assessment of EDTA Plasma and Serum Samples.
    Malm L, Tybring G, Moritz T, Landin B, Galli J.
    Biopreserv Biobank; 2016 Oct 07; 14(5):416-423. PubMed ID: 27348730
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  • 10. Global biochemical analysis of plasma, serum and whole blood collected using various anticoagulant additives.
    Kennedy AD, Ford L, Wittmann B, Conner J, Wulff J, Mitchell M, Evans AM, Toal DR.
    PLoS One; 2021 Oct 07; 16(4):e0249797. PubMed ID: 33831088
    [Abstract] [Full Text] [Related]

  • 11. The influence of sample collection methodology and sample preprocessing on the blood metabolic profile.
    Jørgenrud B, Jäntti S, Mattila I, Pöhö P, Rønningen KS, Yki-Järvinen H, Orešič M, Hyötyläinen T.
    Bioanalysis; 2015 Oct 07; 7(8):991-1006. PubMed ID: 25966010
    [Abstract] [Full Text] [Related]

  • 12. The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry.
    Khadka M, Todor A, Maner-Smith KM, Colucci JK, Tran V, Gaul DA, Anderson EJ, Natrajan MS, Rouphael N, Mulligan MJ, McDonald CE, Suthar M, Li S, Ortlund EA.
    Biomolecules; 2019 May 23; 9(5):. PubMed ID: 31126114
    [Abstract] [Full Text] [Related]

  • 13. Preanalytical variables for liquid chromatography-mass spectrometry (LC-MS) analysis of human blood specimens.
    Salvagno GL, Danese E, Lippi G.
    Clin Biochem; 2017 Jul 23; 50(10-11):582-586. PubMed ID: 28433611
    [Abstract] [Full Text] [Related]

  • 14. Metabolome of canine and human saliva: a non-targeted metabolomics study.
    Turunen S, Puurunen J, Auriola S, Kullaa AM, Kärkkäinen O, Lohi H, Hanhineva K.
    Metabolomics; 2020 Aug 25; 16(9):90. PubMed ID: 32840693
    [Abstract] [Full Text] [Related]

  • 15. Chemical Isotope Labeling LC-MS for Human Blood Metabolome Analysis.
    Han W, Li L.
    Methods Mol Biol; 2018 Aug 25; 1730():213-225. PubMed ID: 29363075
    [Abstract] [Full Text] [Related]

  • 16. Mass spectrometric based approaches in urine metabolomics and biomarker discovery.
    Khamis MM, Adamko DJ, El-Aneed A.
    Mass Spectrom Rev; 2017 Mar 25; 36(2):115-134. PubMed ID: 25881008
    [Abstract] [Full Text] [Related]

  • 17. Targeted metabolomics identifies reliable and stable metabolites in human serum and plasma samples.
    Breier M, Wahl S, Prehn C, Fugmann M, Ferrari U, Weise M, Banning F, Seissler J, Grallert H, Adamski J, Lechner A.
    PLoS One; 2014 Mar 25; 9(2):e89728. PubMed ID: 24586991
    [Abstract] [Full Text] [Related]

  • 18. Analytes related to erythrocyte metabolism are reliable biomarkers for preanalytical error due to delayed plasma processing in metabolomics studies.
    Jain M, Kennedy AD, Elsea SH, Miller MJ.
    Clin Chim Acta; 2017 Mar 25; 466():105-111. PubMed ID: 28069401
    [Abstract] [Full Text] [Related]

  • 19. Impact of Pre-analytic Blood Sample Collection Factors on Metabolomics.
    Townsend MK, Bao Y, Poole EM, Bertrand KA, Kraft P, Wolpin BM, Clish CB, Tworoger SS.
    Cancer Epidemiol Biomarkers Prev; 2016 May 25; 25(5):823-829. PubMed ID: 26941367
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  • 20.
    Kobeissy FH, Wolahan SM, Hirt D, Glenn TC.
    ; 2015 May 25. PubMed ID: 26269925
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