| Title |
Development of a column-switching LC-MS/MS method of tramadol and its metabolites in hair and application to a pharmacogenetic study
|
|---|---|
| Published in |
Archives of Pharmacal Research, March 2018
|
| DOI | 10.1007/s12272-018-1013-7 |
| Pubmed ID | |
| Authors |
Hyerim Yu, Minje Choi, Jung-Hee Jang, Byoungduck Park, Young Ho Seo, Chul-Ho Jeong, Jung-Woo Bae, Sooyeun Lee |
| Abstract |
Hair is a valuable specimen for monitoring long-term drug use. Tramadol is an effective opioid analgesic but is associated with risks such as drug dependence and unexpected toxicity arising from genetic differences in metabolism. However, few studies have been performed on the distribution of tramadol and its metabolites in hair. In the present study, a column-switching LC-MS/MS method was developed and fully validated for the simultaneous determination of tramadol and its phase I and II metabolites in hair. Furthermore, the distribution of tramadol and its metabolites in hair was investigated in a pharmacogenetic study. Tramadol and its metabolites were extracted from hair using methanol and injected onto LC-MS/MS. The validation results of selectivity, matrix effect, linearity, precision and accuracy were satisfactory. The (mean) concentrations of O-desmethyltramadol (ODMT) and N,O-didesmethyltramadol (NODMT) in the CYP2D6*10/*10 and CYP2D6*5/*5 groups were lower than those in the CYP2D6*wt/*wt group, while the (mean) concentrations of N-desmethyltramadol (NDMT) were higher. Moreover, the ratios of ODMT/tramadol, NDMT/tramadol and NODMT/NDMT were well correlated with the CYP2D6 genotypes. The developed method was successfully applied to the clinical study, which demonstrated that the concentrations of a drug and its metabolites in hair were dependent on the polymorphism of its metabolizing enzyme. |
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 % |
|---|---|---|
| Mexico | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 25% |
| Student > Bachelor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 25% |
| Medicine and Dentistry | 3 | 13% |
| Immunology and Microbiology | 2 | 8% |
| Chemistry | 2 | 8% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 38% |
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 14 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Archives of Pharmacal Research
#1,050
of 1,299 outputs
Outputs of similar age
#258,274
of 332,340 outputs
Outputs of similar age from Archives of Pharmacal Research
#9
of 10 outputs
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