Literature DB >> 30034777

Does the 5-HT1A rs6295 polymorphism influence the safety and efficacy of citalopram therapy in the oldest old?

Greg Scutt1, Andrew Overall2, Railton Scott3, Bhavik Patel2, Lamia Hachoumi2, Mark Yeoman2, Juliet Wright4.   

Abstract

Major depressive disorder (MDD) in older people is a relatively common, yet hard to treat problem. In this study, we aimed to establish if a single nucleotide polymorphism in the 5-HT1A receptor gene (rs6295) determines antidepressant response in patients aged > 80 years (the oldest old) with MDD. Nineteen patients aged at least 80 years with a new diagnosis of MDD were monitored for response to citalopram 20 mg daily over 4 weeks and genotyped for the rs6295 allele. Both a frequentist and Bayesian analysis was performed on the data. Bayesian analysis answered the clinically relevant question: 'What is the probability that an older patient would enter remission after commencing selective serotonin reuptake inhibitor (SSRI) treatment, conditional on their rs6295 genotype?' Individuals with a CC (cytosine-cytosine) genotype showed a significant improvement in their Geriatric Depression Score (p = 0.020) and cognition (p = 0.035) compared with other genotypes. From a Bayesian perspective, we updated reports of antidepressant efficacy in older people with our data and calculated that the 4-week relative risk of entering remission, given a CC genotype, is 1.9 [95% highest-density interval (HDI) 0.7-3.5], compared with 0.52 (95% HDI 0.1-1.0) for the CG (cytosine-guanine) genotype. The sample size of n = 19 is too small to draw any firm conclusions, however, the data suggest a trend indicative of a relationship between the rs6295 genotype and response to citalopram in older patients, which requires further investigation.

Entities:  

Keywords:  Bayesian analysis; ageing; depression; pharmacogenomics

Year:  2018        PMID: 30034777      PMCID: PMC6048630          DOI: 10.1177/2042098618770620

Source DB:  PubMed          Journal:  Ther Adv Drug Saf        ISSN: 2042-0986


  22 in total

1.  Commentary: practical advantages of Bayesian analysis of epidemiologic data.

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3.  Association between depression and mortality in older adults: the Cardiovascular Health Study.

Authors:  R Schulz; S R Beach; D G Ives; L M Martire; A A Ariyo; W J Kop
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Review 6.  Citalopram versus other antidepressants for late-life depression: a systematic review and meta-analysis.

Authors:  Dallas P Seitz; Sudeep S Gill; David K Conn
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7.  Age, sex, and reproductive hormone effects on brain serotonin-1A and serotonin-2A receptor binding in a healthy population.

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8.  Higher serotonin 1A binding in a second major depression cohort: modeling and reference region considerations.

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9.  Modifying 5-HT1A Receptor Gene Expression as a New Target for Antidepressant Therapy.

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10.  Effect of 5-HT1A gene polymorphisms on antidepressant response in major depressive disorder.

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Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2009-01-05       Impact factor: 3.568

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  1 in total

Review 1.  Genetic, epigenetic and posttranscriptional mechanisms for treatment of major depression: the 5-HT1A receptor gene as a paradigm

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