Literature DB >> 26089608

Metabolomics: A Tool Ahead for Understanding Molecular Mechanisms of Drugs and Diseases.

Neel Jayesh Shah1, Srinivasamurthy Sureshkumar2, Deepak Gopal Shewade1.   

Abstract

To refer to metabolomics as a new field is injustice to ancient doctors who used ants to diagnose the patients of diabetes having glycosuria. Measuring the levels of molecules in biological fluids believing them to be the representatives of biochemical pathways of carbohydrates, fats, proteins, nucleic acids or xenobiotic metabolism and deciphering meaningful data from it is what can be called as metabolomics, just as high glucose in urine suggests diabetes mellitus. Genomics, epigenetics, proteomics, transcriptomics finally converge to metabolomics, which are the signatures of mechanisms of bodily processes which is why understanding this science can have many applications. Just as a heap of stones does not make a house, having data of metabolite levels does not make it a science. Analyzing this data would help us in constructing biochemical pathways and their interactions. Analyzing the changes caused by a drug in the metabolite levels would help us in deriving the mechanisms by which the drug acts. Comparing metabolite levels in diseased with non-diseased, good-responders with poor-responders to a particular drug can help in identifying new markers of a disease or response to a drug respectively. Also, metabolite levels of an endogenous substrate can tell us the status of a person's metabolizing enzymes and help in drug dose titration. Generating hypothesis by identifying the new molecular markers and testing their utility in clinics seems to be the most promising approach in future. This review narrates the modes of quantifying and identifying metabolome, its proposed applications in diagnosis, monitoring and understanding the diseases and drug responses. We also intend to identify hindrances in using metabolomics in clinical studies or experiments.

Entities:  

Keywords:  Disease markers; Drug response; Metabolites in diagnosis; Metabolomics

Year:  2014        PMID: 26089608      PMCID: PMC4469065          DOI: 10.1007/s12291-014-0455-z

Source DB:  PubMed          Journal:  Indian J Clin Biochem        ISSN: 0970-1915


  36 in total

Review 1.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics.

Authors:  Joanne T Brindle; Henrik Antti; Elaine Holmes; George Tranter; Jeremy K Nicholson; Hugh W L Bethell; Sarah Clarke; Peter M Schofield; Elaine McKilligin; David E Mosedale; David J Grainger
Journal:  Nat Med       Date:  2002-11-25       Impact factor: 53.440

3.  Branched chain and aromatic amino acids change acutely following two medical therapies for type 2 diabetes mellitus.

Authors:  Geoffrey A Walford; Jaclyn Davis; A Sofia Warner; Rachel J Ackerman; Liana K Billings; Bindu Chamarthi; Rebecca R Fanelli; Alicia M Hernandez; Chunmei Huang; Sabina Q Khan; Katherine R Littleton; Janet Lo; Rita M McCarthy; Eugene P Rhee; Amy Deik; Elliot Stolerman; Andrew Taylor; Margo S Hudson; Thomas J Wang; David Altshuler; Richard W Grant; Clary B Clish; Robert E Gerszten; Jose C Florez
Journal:  Metabolism       Date:  2013-08-15       Impact factor: 8.694

4.  Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism.

Authors:  T Andrew Clayton; David Baker; John C Lindon; Jeremy R Everett; Jeremy K Nicholson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

5.  Rapid and noninvasive metabonomic characterization of inflammatory bowel disease.

Authors:  Julian R Marchesi; Elaine Holmes; Fatima Khan; Sunil Kochhar; Pauline Scanlan; Fergus Shanahan; Ian D Wilson; Yulan Wang
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

6.  Glycine and a glycine dehydrogenase (GLDC) SNP as citalopram/escitalopram response biomarkers in depression: pharmacometabolomics-informed pharmacogenomics.

Authors:  Y Ji; S Hebbring; H Zhu; G D Jenkins; J Biernacka; K Snyder; M Drews; O Fiehn; Z Zeng; D Schaid; D A Mrazek; R Kaddurah-Daouk; R M Weinshilboum
Journal:  Clin Pharmacol Ther       Date:  2010-11-24       Impact factor: 6.875

7.  Phenotypic predictors of response to simvastatin therapy among African-Americans and Caucasians: the Cholesterol and Pharmacogenetics (CAP) Study.

Authors:  Joel A Simon; Feng Lin; Stephen B Hulley; Patricia J Blanche; David Waters; Stephen Shiboski; Jerome I Rotter; Deborah A Nickerson; Huiying Yang; Mohammed Saad; Ronald M Krauss
Journal:  Am J Cardiol       Date:  2006-01-27       Impact factor: 2.778

8.  A metabolic biosignature of early response to anti-tuberculosis treatment.

Authors:  Sebabrata Mahapatra; Ann M Hess; John L Johnson; Kathleen D Eisenach; Mary A DeGroote; Phineas Gitta; Moses L Joloba; Gilla Kaplan; Gerhard Walzl; W Henry Boom; John T Belisle
Journal:  BMC Infect Dis       Date:  2014-01-31       Impact factor: 3.090

9.  Pharmacometabolomics of response to sertraline and to placebo in major depressive disorder - possible role for methoxyindole pathway.

Authors:  Hongjie Zhu; Mikhail B Bogdanov; Stephen H Boyle; Wayne Matson; Swati Sharma; Samantha Matson; Erik Churchill; Oliver Fiehn; John A Rush; Ranga R Krishnan; Eve Pickering; Marielle Delnomdedieu; Rima Kaddurah-Daouk
Journal:  PLoS One       Date:  2013-07-17       Impact factor: 3.240

10.  Untargeted metabolomics reveals a lack of synergy between nifurtimox and eflornithine against Trypanosoma brucei.

Authors:  Isabel M Vincent; Darren J Creek; Karl Burgess; Debra J Woods; Richard J S Burchmore; Michael P Barrett
Journal:  PLoS Negl Trop Dis       Date:  2012-05-01
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  12 in total

1.  Molecular modeling and LC-MS-based metabolomics of a glutamine-valproic acid (Gln-VPA) derivative on HeLa cells.

Authors:  M J Fragoso-Vázquez; D Méndez-Luna; M C Rosales-Hernández; G R Luna-Palencia; A Estrada-Pérez; Benedicte Fromager; I Vásquez-Moctezuma; J Correa-Basurto
Journal:  Mol Divers       Date:  2020-04-24       Impact factor: 2.943

2.  Circulating Palmitoyl Sphingomyelin Is Associated With Cardiovascular Disease in Individuals With Type 2 Diabetes: Findings From the China Da Qing Diabetes Study.

Authors:  Yanyan Chen; Hongmei Jia; Xin Qian; Jinping Wang; Meng Yu; Qiuhong Gong; Yali An; Hui Li; Sidong Li; Na Shi; Zhongmei Zou; Guangwei Li
Journal:  Diabetes Care       Date:  2022-03-01       Impact factor: 19.112

3.  A lipidomics investigation into the intervention of celastrol in experimental colitis.

Authors:  Renping Wang; Xueqin Gu; Weiquan Dai; Jun Ye; Feng Lu; Yifeng Chai; Guorong Fan; Frank J Gonzalez; Gengli Duan; Yunpeng Qi
Journal:  Mol Biosyst       Date:  2016-04-26

4.  Brain Metabolic Changes in Rats following Acoustic Trauma.

Authors:  Jun He; Yejin Zhu; Jiye Aa; Paul F Smith; Dirk De Ridder; Guangji Wang; Yiwen Zheng
Journal:  Front Neurosci       Date:  2017-03-24       Impact factor: 4.677

5.  Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.

Authors:  Richard Berlin; Russell Gruen; James Best
Journal:  Front Bioeng Biotechnol       Date:  2018-08-07

Review 6.  Unravelling the Anticancer Mechanisms of Traditional Herbal Medicines with Metabolomics.

Authors:  Omolola R Oyenihi; Ayodeji B Oyenihi; Joseph O Erhabor; Motlalepula G Matsabisa; Oluwafemi O Oguntibeju
Journal:  Molecules       Date:  2021-10-29       Impact factor: 4.411

7.  Comprehensive Transcriptomic and Metabolomic Analysis of the Litopenaeus vannamei Hepatopancreas After WSSV Challenge.

Authors:  Dianjiang Yu; Yufeng Zhai; Peimin He; Rui Jia
Journal:  Front Immunol       Date:  2022-02-10       Impact factor: 7.561

Review 8.  Computational analyses of mechanism of action (MoA): data, methods and integration.

Authors:  Maria-Anna Trapotsi; Layla Hosseini-Gerami; Andreas Bender
Journal:  RSC Chem Biol       Date:  2021-12-22

Review 9.  Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases.

Authors:  Adewale Victor Aderemi; Ademola Olabode Ayeleso; Oluboade Oluokun Oyedapo; Emmanuel Mukwevho
Journal:  Metabolites       Date:  2021-06-25

Review 10.  Defining Blood Plasma and Serum Metabolome by GC-MS.

Authors:  Olga Kiseleva; Ilya Kurbatov; Ekaterina Ilgisonis; Ekaterina Poverennaya
Journal:  Metabolites       Date:  2021-12-24
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