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Bulletin of Clinical Psychopharmacology, Vol: 21, Supplement: 2, 2011 - www.psikofarmakoloji.org<br />
Poster Presentations<br />
[PP-121] Ref. No: 280<br />
Abuse of tianeptine: A case report<br />
Hüsameddin Özer, Atilla Erol<br />
Sakarya Teaching and Research Hospital, Psychiatry Clinic, Sakarya, Turkey<br />
E-mail: husamozer@mynet.com<br />
Tianeptine is an atypical antidepressant, which modestly enhances the mezolimbic release of dopamine. Tianeptine is an antidepressant<br />
that is accepted as not being abused by patients. However, there have been some case reports regarding abuse and/or addiction to it.<br />
The abuse of tianeptine is rare and so far has only been reported in patients with pre-existing multi substance abuse disorders. A total of<br />
141 cases of abuse were reported between 1989 and 2004. The patients usually sought and experienced a psychostimulant effect. The<br />
stimulant effect of tianeptine has been specifically emphasized in some case reports of tianeptine abuse in the literature.<br />
In this poster, a twenty year-old female patient, who received tianeptine treatment for depression and developed tianeptine dependence<br />
is presented. In our case, the patient was taking sixty pills daily. Although she took sixty pills, her biological tolerance was excellent and<br />
hepatic and hematological parameters were not affected, similar to the findings of other reports in the literature.<br />
This case emphasizes that while prescribing tianeptine treatment clinicians should be careful using it in patients with substance abuse<br />
problems, as reported by other case reports in the literature.<br />
Key words: Tianeptine abuse, tianeptine dependence<br />
Bulletin of Clinical Psychopharmacology 2011;21(Suppl. 2):S197<br />
[PP-122] Ref. No: 282<br />
GWAS with AHP based SNP prioritization approach to identify SNP biomarkers<br />
for Alzheimer’s disease<br />
Onat Kadıoğlu 1 , Gürkan Üstünkar 2 , Yeşim Aydın Son 3<br />
1 Middle East Technical University, Bioinformatics Graduate Program Ankara, Turkey<br />
2 Middle East Technical University, Informatics Institute Department of Information Science, Ankara, Turkey<br />
3 Middle East Technical University, Informatics Institute Department of Health Informatics, Ankara, Turkey<br />
E-mail: onat.kadd@gmail.com<br />
Genome wide association studies (GWAS) is defined as search for biological variance associated with certain phenotypes and diseases<br />
among individuals in a population depending on statistical analysis. Combined p-value approach has been introduced recently and<br />
is defined as the second-wave GWAS. It helps mapping of significant SNPs to genes and pathways to evaluate SNP-gene-disease<br />
associations. Identification of enriched genes and pathways significantly associated with diseases can be performed via this approach.<br />
The major bottleneck of current standard GWAS approaches is the prioritization of statistically significant results. Our group has recently<br />
developed a novel Analytical Hierarchical Process (AHP) based on a structured SNP prioritization algorithm. SNPs are scored according<br />
to their biological relevance in terms of their genomic location and functional consequence, evolutionary conservation, and genedisease<br />
association. The recently developed METU-SNP application integrates GWAS, combined p-value while utilizing AHP based SNP<br />
prioritization algorithms. Combined p-value and AHP prioritization approach for GWAS of Alzheimer’s Disease (AD) has been utilized for<br />
the SNP-disease association of AD for the first the time in this study with METU-SNP software.<br />
The results from the analysis of two different sets of AD genotyping data with the newly proposed AHP based prioritization yield promising<br />
results for both datasets. For the ADNI data, all the top 100 SNPs according to AHP scoring map to OMIM associated genes and 18 of<br />
them map to AD linked genes. For the GenADA data, all the top 100 SNPs according to AHP scoring map to OMIM associated genes and<br />
37 of them map to AD linked genes. Glycolysis and gluconeogenesis, leukocyte migration, axon guidance, actin filament polymerization,<br />
cell adhesion, DNA fragmentation during apoptosis, fatty acid metabolism, and negative regulation of cell proliferation are common<br />
pathways residing at top 100 pathways according to combined p-value for pathways that are observed in GWAS results of both data sets.<br />
GWAS of both data with METU-SNP confirms the literature for AD associated genes; A2M, ABCA1, ACE, APOA1, APP, CHRNA7, IL1A,<br />
LDLR, LPL, MPO, PTGS2, SORL1. rs3781835 at SORL1, rs4343, and rs4351 at ACE1 are SNPs with high AHP scores are also listed to be AD<br />
associated at PharmGKB database. Moreover, CT and TT genotype of rs6313 at HTR2A gene indicates resistance to the treatment with<br />
antipsychotic drugs for AD patients presenting delusional symptoms. As presented here METU-SNP is a powerful tool with a novel AHP<br />
based prioritization algorithm implemented, which can lead to discovery of new associations at SNP, gene, and pathway level. In near<br />
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