| Title |
Hemodialysis does not alter in vitro hepatic CYP3A4 and CYP2D6 metabolic activity in uremic serum
|
|---|---|
| Published in |
Clinical Pharmacology : Advances and Applications, December 2013
|
| DOI | 10.2147/cpaa.s54381 |
| Pubmed ID | |
| Authors |
Brian S Decker, Kalisha D O’Neill, Mary A Chambers, James E Slaven, Zhangsheng Yu, David R Jones, Sharon M Moe |
| Abstract |
There is a paucity of studies evaluating the change in liver metabolism in subjects receiving hemodialysis. The purpose of this study was to compare the effect of uremic toxins on hepatic cytochrome P450 (CYP)3A4 and CYP2D6 metabolism before and after a 4-hour hemodialysis session. Midazolam and dextromethorphan were incubated with uremic serum collected from subjects before and after the 4-hour hemodialysis session. Analysis and quantification of the 1'-OH-midazolam and 4-OH-midazolam and dextrorphan metabolites were performed by high-pressure liquid chromatography/mass spectrometry. Statistical analysis using the Student's t-test (paired) was used to compare the amount of metabolite formed. The mean amount of 1'-OH-midazolam, 4-OH-midazolam, and dextrorphan metabolites formed before and after hemodialysis did not significantly differ. There was no significant difference in CYP3A4 and CYP2D6 metabolic activity in uremic serum before and after hemodialysis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Other | 1 | 11% |
| Professor | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Chemistry | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2013.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Clinical Pharmacology : Advances and Applications
#137
of 179 outputs
Outputs of similar age
#236,464
of 320,964 outputs
Outputs of similar age from Clinical Pharmacology : Advances and Applications
#3
of 8 outputs
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So far Altmetric has tracked 179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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