Pharmacometabolomics: A New Horizon in Personalized Medicine

AbdulHamid Emwas; Kacper Szczepski; Ryan T. McKay; Hiba Asfour; Chungke Chang; Joanna Lachowicz; Mariusz Jaremko

doi:10.5772/intechopen.98911

Pharmacometabolomics: A New Horizon in Personalized Medicine

AbdulHamid Emwas, Kacper Szczepski, Ryan T. McKay, Hiba Asfour, Chungke Chang, Joanna Lachowicz, Mariusz Jaremko

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Pharmacology is the predominant first-line treatment for most pathologies. However, various factors, such as genetics, gender, diet, and health status, significantly influence the efficacy of drugs in different patients, sometimes with fatal consequences. Personalized diagnosis substantially improves treatment efficacy but requires a more comprehensive process for health assessment. Pharmacometabolomics combines metabolomic, genomic, transcriptomic and proteomic approaches and therefore offers data that other analytical methods cannot provide. In this way, pharmacometabolomics more accurately guides medical professionals in predicting an individual’s response to selected drugs. In this chapter, we discuss the potentials and the advantages of metabolomics approaches for designing innovative and personalized drug treatments.

Original language	English (US)
Title of host publication	Metabolomics - Methodology and Applications in Medical Sciences and Life Sciences
Publisher	IntechOpen
DOIs	https://doi.org/10.5772/intechopen.98911
State	Published - Aug 9 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-10-02
Acknowledgements: We would like to thank King Abdullah University of Science and Technology (KAUST) for financial support.

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10.5772/intechopen.98911

https://repository.kaust.edu.sa/bitstream/10754/670601/1/3_plain_77592.pdf

Cite this

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title = "Pharmacometabolomics: A New Horizon in Personalized Medicine",

abstract = "Pharmacology is the predominant first-line treatment for most pathologies. However, various factors, such as genetics, gender, diet, and health status, significantly influence the efficacy of drugs in different patients, sometimes with fatal consequences. Personalized diagnosis substantially improves treatment efficacy but requires a more comprehensive process for health assessment. Pharmacometabolomics combines metabolomic, genomic, transcriptomic and proteomic approaches and therefore offers data that other analytical methods cannot provide. In this way, pharmacometabolomics more accurately guides medical professionals in predicting an individual{\textquoteright}s response to selected drugs. In this chapter, we discuss the potentials and the advantages of metabolomics approaches for designing innovative and personalized drug treatments.",

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AU - Emwas, AbdulHamid

AU - Szczepski, Kacper

AU - T. McKay, Ryan

AU - Asfour, Hiba

AU - Chang, Chungke

AU - Lachowicz, Joanna

AU - Jaremko, Mariusz

N1 - KAUST Repository Item: Exported on 2021-10-02 Acknowledgements: We would like to thank King Abdullah University of Science and Technology (KAUST) for financial support.

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N2 - Pharmacology is the predominant first-line treatment for most pathologies. However, various factors, such as genetics, gender, diet, and health status, significantly influence the efficacy of drugs in different patients, sometimes with fatal consequences. Personalized diagnosis substantially improves treatment efficacy but requires a more comprehensive process for health assessment. Pharmacometabolomics combines metabolomic, genomic, transcriptomic and proteomic approaches and therefore offers data that other analytical methods cannot provide. In this way, pharmacometabolomics more accurately guides medical professionals in predicting an individual’s response to selected drugs. In this chapter, we discuss the potentials and the advantages of metabolomics approaches for designing innovative and personalized drug treatments.

AB - Pharmacology is the predominant first-line treatment for most pathologies. However, various factors, such as genetics, gender, diet, and health status, significantly influence the efficacy of drugs in different patients, sometimes with fatal consequences. Personalized diagnosis substantially improves treatment efficacy but requires a more comprehensive process for health assessment. Pharmacometabolomics combines metabolomic, genomic, transcriptomic and proteomic approaches and therefore offers data that other analytical methods cannot provide. In this way, pharmacometabolomics more accurately guides medical professionals in predicting an individual’s response to selected drugs. In this chapter, we discuss the potentials and the advantages of metabolomics approaches for designing innovative and personalized drug treatments.

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M3 - Chapter

BT - Metabolomics - Methodology and Applications in Medical Sciences and Life Sciences

PB - IntechOpen

ER -

Pharmacometabolomics: A New Horizon in Personalized Medicine

Abstract

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