Pharmacometabolomics informs viromics towards precision medicine
Nowadays, we are experiencing the big data era with the emerging challenge of single data interpretation. Although the advent of high-throughput technologies as well as chemo- and bio- informatics tools presents pan-omics data as the way forward to precision medicine, personalized health care and ta...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-10-01
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| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00411/full |
| _version_ | 1818466309170528256 |
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| author | Aggeliki Balasopoulou George P Patrinos Theodora Katsila |
| author_facet | Aggeliki Balasopoulou George P Patrinos Theodora Katsila |
| author_sort | Aggeliki Balasopoulou |
| collection | DOAJ |
| description | Nowadays, we are experiencing the big data era with the emerging challenge of single data interpretation. Although the advent of high-throughput technologies as well as chemo- and bio- informatics tools presents pan-omics data as the way forward to precision medicine, personalized health care and tailored-made therapeutics can be only envisaged when interindividual variability in response to/ toxicity of xenobiotics can be interpreted and thus, predicted. We know that such variability is the net outcome of genetics (host and microbiota) and environmental factors (diet, lifestyle, polypharmacy, microbiota) and for this, tremendous efforts have been made to clarify key-molecules from correlation to causality to clinical significance. Herein, we focus on the host-microbiome interplay and its direct and indirect impact on efficacy and toxicity of xenobiotics and we inevitably wonder about the role of viruses, as the least acknowledged ones. We present the emerging discipline of pharmacometabolomics-informed viromics, in which pre-dose metabotypes can assist modeling and prediction of interindividual response to/ toxicity of xenobiotics. Such features, either alone or in combination with host genetics, can power biomarker discovery so long as the features are variable among patients, stable enough to be of predictive value, and better than pre-existing tools for predicting therapeutic efficacy/ toxicity. |
| first_indexed | 2024-04-13T20:56:59Z |
| format | Article |
| id | doaj.art-5177996d25b94e0e904bdb4c847448ff |
| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-04-13T20:56:59Z |
| publishDate | 2016-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj.art-5177996d25b94e0e904bdb4c847448ff2022-12-22T02:30:17ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122016-10-01710.3389/fphar.2016.00411216682Pharmacometabolomics informs viromics towards precision medicineAggeliki Balasopoulou0George P Patrinos1Theodora Katsila2University of Patras School of Health SciencesUniversity of Patras School of Health SciencesUniversity of Patras School of Health SciencesNowadays, we are experiencing the big data era with the emerging challenge of single data interpretation. Although the advent of high-throughput technologies as well as chemo- and bio- informatics tools presents pan-omics data as the way forward to precision medicine, personalized health care and tailored-made therapeutics can be only envisaged when interindividual variability in response to/ toxicity of xenobiotics can be interpreted and thus, predicted. We know that such variability is the net outcome of genetics (host and microbiota) and environmental factors (diet, lifestyle, polypharmacy, microbiota) and for this, tremendous efforts have been made to clarify key-molecules from correlation to causality to clinical significance. Herein, we focus on the host-microbiome interplay and its direct and indirect impact on efficacy and toxicity of xenobiotics and we inevitably wonder about the role of viruses, as the least acknowledged ones. We present the emerging discipline of pharmacometabolomics-informed viromics, in which pre-dose metabotypes can assist modeling and prediction of interindividual response to/ toxicity of xenobiotics. Such features, either alone or in combination with host genetics, can power biomarker discovery so long as the features are variable among patients, stable enough to be of predictive value, and better than pre-existing tools for predicting therapeutic efficacy/ toxicity.http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00411/fullMetagenomicspharmacogenomicsprecision medicinepharmacometabolomicsViromicsPharmacometagenomics |
| spellingShingle | Aggeliki Balasopoulou George P Patrinos Theodora Katsila Pharmacometabolomics informs viromics towards precision medicine Frontiers in Pharmacology Metagenomics pharmacogenomics precision medicine pharmacometabolomics Viromics Pharmacometagenomics |
| title | Pharmacometabolomics informs viromics towards precision medicine |
| title_full | Pharmacometabolomics informs viromics towards precision medicine |
| title_fullStr | Pharmacometabolomics informs viromics towards precision medicine |
| title_full_unstemmed | Pharmacometabolomics informs viromics towards precision medicine |
| title_short | Pharmacometabolomics informs viromics towards precision medicine |
| title_sort | pharmacometabolomics informs viromics towards precision medicine |
| topic | Metagenomics pharmacogenomics precision medicine pharmacometabolomics Viromics Pharmacometagenomics |
| url | http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00411/full |
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