Combined effect of common gene variants on response to drug withdrawal therapy in medication overuse headache

Sarah Cargnin, Michele Viana, Grazia Sances, Marika Bianchi, Natascia Ghiotto, Cristina Tassorelli, Giuseppe Nappi, Pier Luigi Canonico, Armando A. Genazzani, Salvatore Terrazzino

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Purpose: No information is currently available on genetic determinants of short-term response to drug withdrawal in medication overuse headache (MOH). In the present study, we aimed to evaluate the role of 14 polymorphisms in 8 candidate genes potentially relevant for drug addiction (OPRM1, DRD2, DBH, COMT, BDNF, SLC6A4, 5HT2A, and SLC1A2) as predictors for detoxification outcome of MOH patients at 2 months of follow-up. Methods: Genotyping was conducted by PCR, PCR-RFLP analysis, or real-time PCR allelic discrimination assay on genomic DNA extracted from peripheral blood. The association between gene variants and risk of unsuccessful detoxification was evaluated by univariate and multivariate logistic regression analyses. Results: One hundred and eight MOH patients with effective drug withdrawal therapy and 65 MOH patients with unsuccessful detoxification were available for the analysis. In the multivariable logistic regression analysis, triptan overuse (odds ratio (OR) 0.271, 95 % confidence interval (CI) 0.083-0.890, P∈=∈0.031) and TT genotype carriage of DRD2 NcoI (OR 0.115, 95 % CI 0.014-0.982, P∈=∈0.048) emerged as independent predictors for unsuccessful detoxification. In addition, carriers of at least four of the six top-ranked gene variants (P∈

Original languageEnglish
Pages (from-to)1195-1202
Number of pages8
JournalEuropean Journal of Clinical Pharmacology
Volume70
Issue number10
DOIs
Publication statusPublished - 2014

Fingerprint

Secondary Headache Disorders
Drug Therapy
Genes
Logistic Models
Odds Ratio
Regression Analysis
Confidence Intervals
Tryptamines
Polymerase Chain Reaction
Brain-Derived Neurotrophic Factor
Restriction Fragment Length Polymorphisms
Substance-Related Disorders
Real-Time Polymerase Chain Reaction
Genotype
DNA
Pharmaceutical Preparations

Keywords

  • Detoxification
  • Drug withdrawal therapy
  • Gene polymorphisms
  • Medication overuse headache
  • Outcome
  • Risk

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology
  • Medicine(all)

Cite this

Combined effect of common gene variants on response to drug withdrawal therapy in medication overuse headache. / Cargnin, Sarah; Viana, Michele; Sances, Grazia; Bianchi, Marika; Ghiotto, Natascia; Tassorelli, Cristina; Nappi, Giuseppe; Canonico, Pier Luigi; Genazzani, Armando A.; Terrazzino, Salvatore.

In: European Journal of Clinical Pharmacology, Vol. 70, No. 10, 2014, p. 1195-1202.

Research output: Contribution to journalArticle

Cargnin, Sarah ; Viana, Michele ; Sances, Grazia ; Bianchi, Marika ; Ghiotto, Natascia ; Tassorelli, Cristina ; Nappi, Giuseppe ; Canonico, Pier Luigi ; Genazzani, Armando A. ; Terrazzino, Salvatore. / Combined effect of common gene variants on response to drug withdrawal therapy in medication overuse headache. In: European Journal of Clinical Pharmacology. 2014 ; Vol. 70, No. 10. pp. 1195-1202.
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abstract = "Purpose: No information is currently available on genetic determinants of short-term response to drug withdrawal in medication overuse headache (MOH). In the present study, we aimed to evaluate the role of 14 polymorphisms in 8 candidate genes potentially relevant for drug addiction (OPRM1, DRD2, DBH, COMT, BDNF, SLC6A4, 5HT2A, and SLC1A2) as predictors for detoxification outcome of MOH patients at 2 months of follow-up. Methods: Genotyping was conducted by PCR, PCR-RFLP analysis, or real-time PCR allelic discrimination assay on genomic DNA extracted from peripheral blood. The association between gene variants and risk of unsuccessful detoxification was evaluated by univariate and multivariate logistic regression analyses. Results: One hundred and eight MOH patients with effective drug withdrawal therapy and 65 MOH patients with unsuccessful detoxification were available for the analysis. In the multivariable logistic regression analysis, triptan overuse (odds ratio (OR) 0.271, 95 {\%} confidence interval (CI) 0.083-0.890, P∈=∈0.031) and TT genotype carriage of DRD2 NcoI (OR 0.115, 95 {\%} CI 0.014-0.982, P∈=∈0.048) emerged as independent predictors for unsuccessful detoxification. In addition, carriers of at least four of the six top-ranked gene variants (P∈",
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