Current State and Future Perspectives on Personalized Metabolomics

被引:15
作者
Trifonova, Oxana P. [1 ]
Maslov, Dmitry L. L. [1 ]
Balashova, Elena E. E. [1 ]
Lokhov, Petr G. G. [1 ]
机构
[1] Inst Biomed Chem, 10 Bldg 8,Pogodinskaya St, Moscow 119121, Russia
关键词
personalized metabolomics; mass spectrometry; blood plasma; diagnostics; SPECTROMETRY-BASED METABOLOMICS; MASS; HEALTH; OMICS; CHALLENGES; STANDARDS; DATABASES; WELLNESS; NMR;
D O I
10.3390/metabo13010067
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Metabolomics is one of the most promising 'omics' sciences for the implementation in medicine by developing new diagnostic tests and optimizing drug therapy. Since in metabolomics, the end products of the biochemical processes in an organism are studied, which are under the influence of both genetic and environmental factors, the metabolomics analysis can detect any changes associated with both lifestyle and pathological processes. Almost every case-controlled metabolomics study shows a high diagnostic accuracy. Taking into account that metabolomics processes are already described for most nosologies, there are prerequisites that a high-speed and comprehensive metabolite analysis will replace, in near future, the narrow range of chemical analyses used today, by the medical community. However, despite the promising perspectives of personalized metabolomics, there are currently no FDA-approved metabolomics tests. The well-known problem of complexity of personalized metabolomics data analysis and their interpretation for the end-users, in addition to a traditional need for analytical methods to address the quality control, standardization, and data treatment are reported in the review. Possible ways to solve the problems and change the situation with the introduction of metabolomics tests into clinical practice, are also discussed.
引用
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页数:15
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共 104 条
  • [1] Personal aging markers and ageotypes revealed by deep longitudinal profiling
    Ahadi, Sara
    Zhou, Wenyu
    Schussler-Fiorenza Rose, Sophia Miryam
    Sailani, M. Reza
    Contrepois, Kevin
    Avina, Monika
    Ashland, Melanie
    Brunet, Anne
    Snyder, Michael
    [J]. NATURE MEDICINE, 2020, 26 (01) : 83 - +
  • [2] AminoIndex, INNOVATION ACTION IN
  • [3] A reference map of potential determinants for the human serum metabolome
    Bar, Noam
    Korem, Tal
    Weissbrod, Omer
    Zeevi, David
    Rothschild, Daphna
    Leviatan, Sigal
    Kosower, Noa
    Lotan-Pompan, Maya
    Weinberger, Adina
    Le Roy, Caroline I.
    Menni, Cristina
    Visconti, Alessia
    Falchi, Mario
    Spector, Tim D.
    Adamski, Jerzy
    Franks, Paul W.
    Pedersen, Oluf
    Segal, Eran
    [J]. NATURE, 2020, 588 (7836) : 135 - 140
  • [4] Statistical methods for the analysis of high-throughput metabolomics data
    Bartel, Joerg
    Krumsiek, Jan
    Theis, Fabian J.
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2013, 4 (05):
  • [5] Sequential tests of multiple hypotheses controlling false discovery and nondiscovery rates
    Bartroff, Jay
    Song, Jinlin
    [J]. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2020, 39 (01): : 65 - 91
  • [6] Review of recent developments in GC-MS approaches to metabolomics-based research
    Beale, David J.
    Pinu, Farhana R.
    Kouremenos, Konstantinos A.
    Poojary, Mahesha M.
    Narayana, Vinod K.
    Boughton, Berin A.
    Kanojia, Komal
    Dayalan, Saravanan
    Jones, Oliver A. H.
    Dias, Daniel A.
    [J]. METABOLOMICS, 2018, 14 (11)
  • [7] Towards quality assurance and quality control in untargeted metabolomics studies
    Beger, Richard D.
    Dunn, Warwick B.
    Bandukwala, Abbas
    Bethan, Bianca
    Broadhurst, David
    Clish, Clary B.
    Dasari, Surendra
    Derr, Leslie
    Evans, Annie
    Fischer, Steve
    Flynn, Thomas
    Hartung, Thomas
    Herrington, David
    Higashi, Richard
    Hsu, Ping-Ching
    Jones, Christina
    Kachman, Maureen
    Karuso, Helen
    Kruppa, Gary
    Lippa, Katrice
    Maruvada, Padma
    Mosley, Jonathan
    Ntai, Ioanna
    O'Donovan, Claire
    Playdon, Mary
    Raftery, Daniel
    Shaughnessy, Daniel
    Souza, Amanda
    Spaeder, Timothy
    Spalholz, Barbara
    Tayyari, Fariba
    Ubhi, Baljit
    Verma, Mukesh
    Walk, Tilman
    Wilson, Ian
    Witkin, Keren
    Bearden, Daniel W.
    Zanetti, Krista A.
    [J]. METABOLOMICS, 2019, 15 (01)
  • [8] Metabolomics enables precision medicine: "A White Paper, Community Perspective"
    Beger, Richard D.
    Dunn, Warwick
    Schmidt, Michael A.
    Gross, Steven S.
    Kirwan, Jennifer A.
    Cascante, Marta
    Brennan, Lorraine
    Wishart, David S.
    Oresic, Matej
    Hankemeier, Thomas
    Broadhurst, David I.
    Lane, Andrew N.
    Suhre, Karsten
    Kastenmueller, Gabi
    Sumner, Susan J.
    Thiele, Ines
    Fiehn, Oliver
    Kaddurah-Daouk, Rima
    [J]. METABOLOMICS, 2016, 12 (09)
  • [9] Standard operating procedures for pre-analytical handling of blood and urine for metabolomic studies and biobanks
    Bernini, Patrizia
    Bertini, Ivano
    Luchinat, Claudio
    Nincheri, Paola
    Staderini, Samuele
    Turano, Paola
    [J]. JOURNAL OF BIOMOLECULAR NMR, 2011, 49 (3-4) : 231 - 243
  • [10] Bhatia A, 2019, METHODS MOL BIOL, V2037, P113, DOI 10.1007/978-1-4939-9690-2_7