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VARIDT 1.0: variability of drug transporter database

The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abund...

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Detalles Bibliográficos
Autores principales: Yin, Jiayi, Sun, Wen, Li, Fengcheng, Hong, Jiajun, Li, Xiaoxu, Zhou, Ying, Lu, Yinjing, Liu, Mengzhi, Zhang, Xue, Chen, Na, Jin, Xiuping, Xue, Jia, Zeng, Su, Yu, Lushan, Zhu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943059/
https://www.ncbi.nlm.nih.gov/pubmed/31495872
http://dx.doi.org/10.1093/nar/gkz779
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author Yin, Jiayi
Sun, Wen
Li, Fengcheng
Hong, Jiajun
Li, Xiaoxu
Zhou, Ying
Lu, Yinjing
Liu, Mengzhi
Zhang, Xue
Chen, Na
Jin, Xiuping
Xue, Jia
Zeng, Su
Yu, Lushan
Zhu, Feng
author_facet Yin, Jiayi
Sun, Wen
Li, Fengcheng
Hong, Jiajun
Li, Xiaoxu
Zhou, Ying
Lu, Yinjing
Liu, Mengzhi
Zhang, Xue
Chen, Na
Jin, Xiuping
Xue, Jia
Zeng, Su
Yu, Lushan
Zhu, Feng
author_sort Yin, Jiayi
collection PubMed
description The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abundances, and exogenous factors modulating DT activity. The variability data of each aspect are essential for clinical study, and a collective consideration among multiple aspects becomes crucial in precision medicine. However, no database is constructed to provide the comprehensive data of all aspects of DT variability. Herein, the Variability of Drug Transporter Database (VARIDT) was introduced to provide such data. First, 177 and 146 DTs were confirmed, for the first time, by the transporting drugs approved and in clinical/preclinical, respectively. Second, for the confirmed DTs, VARIDT comprehensively collected all aspects of their variability (23 947 DNA methylations, 7317 noncoding RNA/histone regulations, 1278 genetic polymorphisms, differential abundance profiles of 257 DTs in 21 781 patients/healthy individuals, expression of 245 DTs in 67 tissues of human/model organism, 1225 exogenous factors altering the activity of 148 DTs), which allowed mutual connection between any aspects. Due to huge amount of accumulated data, VARIDT made it possible to generalize characteristics to reveal disease etiology and optimize clinical treatment, and is freely accessible at: https://db.idrblab.org/varidt/ and http://varidt.idrblab.net/.
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spelling pubmed-69430592020-01-08 VARIDT 1.0: variability of drug transporter database Yin, Jiayi Sun, Wen Li, Fengcheng Hong, Jiajun Li, Xiaoxu Zhou, Ying Lu, Yinjing Liu, Mengzhi Zhang, Xue Chen, Na Jin, Xiuping Xue, Jia Zeng, Su Yu, Lushan Zhu, Feng Nucleic Acids Res Database Issue The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abundances, and exogenous factors modulating DT activity. The variability data of each aspect are essential for clinical study, and a collective consideration among multiple aspects becomes crucial in precision medicine. However, no database is constructed to provide the comprehensive data of all aspects of DT variability. Herein, the Variability of Drug Transporter Database (VARIDT) was introduced to provide such data. First, 177 and 146 DTs were confirmed, for the first time, by the transporting drugs approved and in clinical/preclinical, respectively. Second, for the confirmed DTs, VARIDT comprehensively collected all aspects of their variability (23 947 DNA methylations, 7317 noncoding RNA/histone regulations, 1278 genetic polymorphisms, differential abundance profiles of 257 DTs in 21 781 patients/healthy individuals, expression of 245 DTs in 67 tissues of human/model organism, 1225 exogenous factors altering the activity of 148 DTs), which allowed mutual connection between any aspects. Due to huge amount of accumulated data, VARIDT made it possible to generalize characteristics to reveal disease etiology and optimize clinical treatment, and is freely accessible at: https://db.idrblab.org/varidt/ and http://varidt.idrblab.net/. Oxford University Press 2020-01-08 2019-09-09 /pmc/articles/PMC6943059/ /pubmed/31495872 http://dx.doi.org/10.1093/nar/gkz779 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Yin, Jiayi
Sun, Wen
Li, Fengcheng
Hong, Jiajun
Li, Xiaoxu
Zhou, Ying
Lu, Yinjing
Liu, Mengzhi
Zhang, Xue
Chen, Na
Jin, Xiuping
Xue, Jia
Zeng, Su
Yu, Lushan
Zhu, Feng
VARIDT 1.0: variability of drug transporter database
title VARIDT 1.0: variability of drug transporter database
title_full VARIDT 1.0: variability of drug transporter database
title_fullStr VARIDT 1.0: variability of drug transporter database
title_full_unstemmed VARIDT 1.0: variability of drug transporter database
title_short VARIDT 1.0: variability of drug transporter database
title_sort varidt 1.0: variability of drug transporter database
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943059/
https://www.ncbi.nlm.nih.gov/pubmed/31495872
http://dx.doi.org/10.1093/nar/gkz779
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