Challenges in Metabolomics-Based Tests, Biomarkers Revealed by Metabolomic Analysis, and the Promise of the Application of Metabolomics in Precision Medicine.
Challenges in Metabolomics-Based Tests, Biomarkers Revealed by Metabolomic Analysis, and the Promise of the Application of Metabolomics in Precision Medicine.
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基于代谢组学的测试面临的挑战，代谢组学分析揭示的生物标志物，以及代谢组学在精准医学中的应用前景。
DOI：
10.3390/ijms23095213
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发表时间：
2022-05-06
影响因子：
5.6
通讯作者：
中科院分区：
文献类型：
--
作者：
Metabolomics helps identify metabolites to characterize/refine perturbations of biological pathways in living organisms. Pre-analytical, analytical, and post-analytical limitations that have hampered a wide implementation of metabolomics have been addressed. Several potential biomarkers originating from current targeted metabolomics-based approaches have been discovered. Precision medicine argues for algorithms to classify individuals based on susceptibility to disease, and/or by response to specific treatments. It also argues for a prevention-based health system. Because of its ability to explore gene–environment interactions, metabolomics is expected to be critical to personalize diagnosis and treatment. Stringent guidelines have been applied from the very beginning to design studies to acquire the information currently employed in precision medicine and precision prevention approaches. Large, prospective, expensive and time-consuming studies are now mandatory to validate old, and discover new, metabolomics-based biomarkers with high chances of translation into precision medicine. Metabolites from studies on saliva, sweat, breath, semen, feces, amniotic, cerebrospinal, and broncho-alveolar fluid are predicted to be needed to refine information from plasma and serum metabolome. In addition, a multi-omics data analysis system is predicted to be needed for omics-based precision medicine approaches. Omics-based approaches for the progress of precision medicine and prevention are expected to raise ethical issues.
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DOI：
10.1080/07474946.2020.1726686
发表时间：
2020
期刊：
Sequential analysis
影响因子：
--
作者：
Bartroff J;Song J
通讯作者：
Song J
影响因子：
14.8
作者：
Bennett, Bryson D.;Yuan, Jie;Rabinowitz, Joshua D.
通讯作者：
Rabinowitz, Joshua D.
影响因子：
49.6
作者：
Andersson, Charlotte;Johnson, Andrew D.;Vasan, Ramachandran S.
通讯作者：
Vasan, Ramachandran S.
影响因子：
5.6
作者：
De Pasquale, Valeria;Caterino, Marianna;Pavone, Luigi Michele
通讯作者：
Pavone, Luigi Michele
影响因子：
5.6
作者：
Caterino M;Costanzo M;Fedele R;Cevenini A;Gelzo M;Di Minno A;Andolfo I;Capasso M;Russo R;Annunziata A;Calabrese C;Fiorentino G;D'Abbraccio M;Dell'Isola C;Fusco FM;Parrella R;Fabbrocini G;Gentile I;Castaldo G;Ruoppolo M
通讯作者：
Ruoppolo M