Literature DB >> 33631535

Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics.

Daisuke Saigusa1, Naomi Matsukawa2, Eiji Hishinuma3, Seizo Koshiba4.   

Abstract

Metabolomics has been widely used for investigating the biological functions of disease expression and has the potential to discover biomarkers in circulating biofluids or tissue extracts that reflect in phenotypic changes. Metabolic profiling has advantages because of the use of unbiased techniques, including multivariate analysis, and has been applied in pharmacological studies to predict therapeutic and adverse reactions of drugs, which is called pharmacometabolomics (PMx). Nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based metabolomics has contributed to the discovery of recent disease biomarkers; however, the optimal strategy for the study purpose must be selected from many established protocols, methodologies and analytical platforms. Additionally, information on molecular localization in tissue is essential for further functional analyses related to therapeutic and adverse effects of drugs in the process of drug development. MS imaging (MSI) is a promising technology that can visualize molecules on tissue surfaces without labeling and thus provide localized information. This review summarizes recent uses of MS-based global and wide-targeted metabolomics technologies and the advantages of the MSI approach for PMx and highlights the PMx technique for the biomarker discovery of adverse drug effects.
Copyright © 2020 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.

Keywords:  Adverse effect; Biomarker; GC/MS; LC/MS; MSI; Metabolomics; NMR; Pharmacometabolomics

Year:  2020        PMID: 33631535     DOI: 10.1016/j.dmpk.2020.11.008

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  9 in total

1.  Simultaneous Multiplexed Imaging of Biomolecules in Transgenic Mouse Brain Tissues Using Mass Spectrometry Imaging: A Multi-omic Approach.

Authors:  Minh-Uyen Thi Le; Hyun Kyong Shon; Hong-Phuong Nguyen; Chul-Ho Lee; Kyoung-Shim Kim; Hee-Kyung Na; Tae Geol Lee
Journal:  Anal Chem       Date:  2022-06-13       Impact factor: 8.008

2.  Metabolites comparison in post-fermentation stage of manual (mechanized) Chinese Huangjiu (yellow rice wine) based on GC-MS metabolomics.

Authors:  Qi Peng; Kai Meng; Huajun Zheng; Hefeng Yu; Yuhao Zhang; Xinyi Yang; Zichen Lin; Guangfa Xie
Journal:  Food Chem X       Date:  2022-05-06

3.  A Comparison of Solvent-Based Extraction Methods to Assess the Central Carbon Metabolites in Mouse Bone and Muscle.

Authors:  Daniela B Dias; Raphaela Fritsche-Guenther; Friederike Gutmann; Georg N Duda; Jennifer Kirwan; Patrina S P Poh
Journal:  Metabolites       Date:  2022-05-18

4.  Nrf2 plays a critical role in the metabolic response during and after spaceflight.

Authors:  Akira Uruno; Daisuke Saigusa; Takafumi Suzuki; Akane Yumoto; Tomohiro Nakamura; Naomi Matsukawa; Takahiro Yamazaki; Ristumi Saito; Keiko Taguchi; Mikiko Suzuki; Norio Suzuki; Akihito Otsuki; Fumiki Katsuoka; Eiji Hishinuma; Risa Okada; Seizo Koshiba; Yoshihisa Tomioka; Ritsuko Shimizu; Masaki Shirakawa; Thomas W Kensler; Dai Shiba; Masayuki Yamamoto
Journal:  Commun Biol       Date:  2021-12-09

Review 5.  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

6.  Characterising Alzheimer's disease through integrative NMR- and LC-MS-based metabolomics.

Authors:  Jonas Ellegaard Nielsen; Raluca Georgiana Maltesen; Jesper F Havelund; Nils J Færgeman; Charlotte Held Gotfredsen; Karsten Vestergård; Søren Risom Kristensen; Shona Pedersen
Journal:  Metabol Open       Date:  2021-09-22

Review 7.  Harnessing Metabolomics to Advance Epilepsy Research.

Authors:  Tore Eid
Journal:  Epilepsy Curr       Date:  2022-02-17       Impact factor: 7.500

8.  Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer.

Authors:  Eiji Hishinuma; Muneaki Shimada; Naomi Matsukawa; Daisuke Saigusa; Bin Li; Kei Kudo; Keita Tsuji; Shogo Shigeta; Hideki Tokunaga; Kazuki Kumada; Keigo Komine; Hidekazu Shirota; Yuichi Aoki; Ikuko N Motoike; Jun Yasuda; Kengo Kinoshita; Masayuki Yamamoto; Seizo Koshiba; Nobuo Yaegashi
Journal:  Toxins (Basel)       Date:  2021-06-30       Impact factor: 4.546

9.  Walker-256 Tumour-Induced Cachexia Altered Liver Metabolomic Profile and Function in Weanling and Adult Rats.

Authors:  Natália Angelo da Silva Miyaguti; Gabriela de Matuoka E Chiocchetti; Carla de Moraes Salgado; Leisa Lopes-Aguiar; Lais Rosa Viana; Lea Blanchard; Rogério Willians Dos Santos; Maria Cristina Cintra Gomes-Marcondes
Journal:  Metabolites       Date:  2021-12-01
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.