Literature DB >> 29363062

Metabolomics as a Tool to Understand Pathophysiological Processes.

Julijana Ivanisevic1, Aurelien Thomas2,3.   

Abstract

Multiple diseases have a strong metabolic component, and metabolomics as a powerful phenotyping technology, in combination with orthogonal biological and clinical approaches, will undoubtedly play a determinant role in accelerating the understanding of mechanisms that underlie these complex diseases determined by a set of genetic, lifestyle, and environmental exposure factors. Here, we provide several examples of valuable findings from metabolomics-led studies in diabetes and obesity metabolism, neurodegenerative disorders, and cancer metabolism and offer a longer term vision toward personalized approach to medicine, from population-based studies to pharmacometabolomics.

Entities:  

Keywords:  Cancer metabolism; Diabetes metabolism; Metabolomics; Neurodegenerative diseases; Obesity metabolism; Personalized medicine; Pharmacometabolomics; Population studies

Mesh:

Substances:

Year:  2018        PMID: 29363062     DOI: 10.1007/978-1-4939-7592-1_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Systemic and central nervous system metabolic alterations in Alzheimer's disease.

Authors:  Vera van der Velpen; Tony Teav; Héctor Gallart-Ayala; Florence Mehl; Ioana Konz; Christopher Clark; Aikaterini Oikonomidi; Gwendoline Peyratout; Hugues Henry; Mauro Delorenzi; Julijana Ivanisevic; Julius Popp
Journal:  Alzheimers Res Ther       Date:  2019-11-28       Impact factor: 6.982

2.  DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies.

Authors:  Nasim Bararpour; Federica Gilardi; Cristian Carmeli; Jonathan Sidibe; Julijana Ivanisevic; Tiziana Caputo; Marc Augsburger; Silke Grabherr; Béatrice Desvergne; Nicolas Guex; Murielle Bochud; Aurelien Thomas
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

3.  Detecting early myocardial ischemia in rat heart by MALDI imaging mass spectrometry.

Authors:  Aleksandra Aljakna Khan; Nasim Bararpour; Marie Gorka; Timothée Joye; Sandrine Morel; Christophe A Montessuit; Silke Grabherr; Tony Fracasso; Marc Augsburger; Brenda R Kwak; Aurélien Thomas; Sara Sabatasso
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

Review 4.  Diagnosing Overtraining Syndrome: A Scoping Review.

Authors:  Justin Carrard; Anne-Catherine Rigort; Christian Appenzeller-Herzog; Flora Colledge; Karsten Königstein; Timo Hinrichs; Arno Schmidt-Trucksäss
Journal:  Sports Health       Date:  2021-09-09       Impact factor: 4.355

5.  Human umbilical cord mesenchymal stem cells restore the ovarian metabolome and rescue premature ovarian insufficiency in mice.

Authors:  Yan Zhao; Jiao Ma; Peiye Yi; Jun Wu; Feiyan Zhao; Wan Tu; Wenjing Liu; Tianda Li; Yan Deng; Jie Hao; Hongmei Wang; Long Yan
Journal:  Stem Cell Res Ther       Date:  2020-11-04       Impact factor: 6.832

6.  Metabolomics reveals biomarkers in human urine and plasma to predict cytochrome P450 2D6 (CYP2D6) activity.

Authors:  Gaëlle Magliocco; Jules Desmeules; Alain Matthey; Luis M Quirós-Guerrero; Nasim Bararpour; Timothée Joye; Laurence Marcourt; Emerson F Queiroz; Jean-Luc Wolfender; Yvonne Gloor; Aurélien Thomas; Youssef Daali
Journal:  Br J Pharmacol       Date:  2021-09-09       Impact factor: 9.473

  6 in total

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