Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/171831
DC Field | Value | |
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dc.title | DISCOVERY OF NOVEL MICRO-RNGS AND ENDOGENOUS METABOLISED WHICH PREDICT DRUG METABOLISING ENZYME ACTIVITY (CYTOCHROME P450 AND UDP-GLUCURONOSYL TRANSFERASE) IN HUMAN SUBJECTS | |
dc.contributor.author | HAN HWAN CHOUR | |
dc.date.accessioned | 2020-07-31T18:00:29Z | |
dc.date.available | 2020-07-31T18:00:29Z | |
dc.date.issued | 2020-01-24 | |
dc.identifier.citation | HAN HWAN CHOUR (2020-01-24). DISCOVERY OF NOVEL MICRO-RNGS AND ENDOGENOUS METABOLISED WHICH PREDICT DRUG METABOLISING ENZYME ACTIVITY (CYTOCHROME P450 AND UDP-GLUCURONOSYL TRANSFERASE) IN HUMAN SUBJECTS. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/171831 | |
dc.description.abstract | This study aims to identify non-invasive biomarkers from the plasma and urine which can predict the total midazolam clearance and apparent oral raltegravir clearance in human, to avoid the labour-intensive and time-consuming multiple blood sampling to measure the plasma midazolam and raltegravir concentration in the subjects to determine the systemic clearance of the two drugs. The biomarkers consisted of pre-dose serum miRNAs, plasma metabolites and urine metabolites from 47 healthy volunteers.The sum of 6 cell-free miRNA expression profiles (hsa-miR-30a-5p, hsa-miR-10b-5p, hsa-miR-4257, hsa-miR-33a-5p, hsa-miR-26b-3p and hsa-miR-216a-5p), the urinary 6-hydroxycortisol ratio and plasma 4b-hydroxycholesterol concentration, expressed as a linear regression equation can predict the total midazolam clearance with r=0.73, p<0.001. No suitable biomarkers were found for prediction of apparent oral raltegravir clearance. This finding can be further validated in a prospective trial with a larger sample size. | |
dc.language.iso | en | |
dc.subject | CYP3A, UGT1A1, midazolam, raltegravir, human, cell-free miRNAs | |
dc.type | Thesis | |
dc.contributor.department | PHARMACOLOGY | |
dc.contributor.supervisor | Jon Deoon, Edmund Lee | |
dc.contributor.supervisor | Chun Yong, Eric Chan | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE (RSH-SOM) | |
Appears in Collections: | Master's Theses (Open) |
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HanHC.2020.pdf | 1.09 MB | Adobe PDF | OPEN | None | View/Download |
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