Cytochrome P450's Pharmacogenomics in Chronic Pain Patients
FACIDOCRO
Exploratory Study of Cytochrome P450's Pharmacogenomics in Chronic Pain Patients
1 other identifier
observational
100
1 country
1
Brief Summary
The use of titrated drugs is at the base of a successful antalgic treatment in order to provide both an adequate relief and a satisfactory tolerability profile. These molecules, though, have a varying degree of efficacy in different subjects due to medical and genetic reasons. The latter are mainly represented by cytochrome (CYP) P450, in particular CYP2D6's polymorphisms are responsible for the diversified metabolism of analgesics used in chronic pain treatments. Four main types of enzymatic metabolism make up the population, each one defined by a different CYP2D6 allele: extensive metabolizers, ultra-rapid metabolizers, intermediate metabolizers and poor metabolizers. Moreover, regarding polytherapies, the analgesics' metabolism could be influenced by coadministration of other drugs, thus determining an inhibition or induction of the metabolic enzymes - known as phenocopying - and potentially also a change in the metabolic phenotype itself. The final outcome is the inconstancy of effectiveness and of the risk of developing side effects. The primary objective of this study is to define a genetic pattern for the gene CYP2D6 by assessing the incidence of poor or ultrarapid metabolizers in a population of chronic pain patients. This will also allow to observe phenocopying in the same population. Hence 100 patients diagnosed with chronic pain will be enrolled. The genetic pattern of the gene CYP2D6 of such patients will be examined by taking mouth samples. At the same time parametric tests for paired data to survey the correlations between phenotypical patterns and pharmacological therapies will be conducted.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2018
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 8, 2018
CompletedFirst Submitted
Initial submission to the registry
January 17, 2018
CompletedFirst Posted
Study publicly available on registry
January 26, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 23, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
March 23, 2018
CompletedMarch 29, 2018
January 1, 2018
2 months
January 17, 2018
March 26, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Analyzing the genetic pattern of CYP2D6's genes
Analyzing the genetic pattern of CYP2D6's genes in a population of chronic pain patients who are treated in a pain therapy clinic
8-10 months
Secondary Outcomes (1)
Evaluating the incidence of metabolic phenotype's variation
8-10 months
Eligibility Criteria
Chronic pain patients who are treated in a pain therapy clinic
You may qualify if:
- Diagnosis of chronic pain
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Andrea Fanelli
Bologna, 40138, Italy
Related Publications (1)
Fanelli A, Palazzo C, Balzani E, Iuvaro A, Pelotti S, Melotti RM. An Explorative Study of CYP2D6's Polymorphism in a Sample of Chronic Pain Patients. Pain Med. 2020 May 1;21(5):1010-1017. doi: 10.1093/pm/pnz265.
PMID: 31710684DERIVED
Biospecimen
buccal swab
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
January 17, 2018
First Posted
January 26, 2018
Study Start
January 8, 2018
Primary Completion
March 23, 2018
Study Completion
March 23, 2018
Last Updated
March 29, 2018
Record last verified: 2018-01
Data Sharing
- IPD Sharing
- Will not share