| Title |
COMT Val 108/158 Met polymorphism and treatment response to aripiprazole in patients with acute schizophrenia
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2018
|
| DOI | 10.2147/ndt.s164647 |
| Pubmed ID | |
| Authors |
Haruka Kaneko, Itaru Miura, Keiko Kanno-Nozaki, Sho Horikoshi, Mizuki Hino, Hirooki Yabe |
| Abstract |
The COMT Val 108/158 Met polymorphism (rs4680) may affect treatment response to antipsychotics, as well as metabolism and dynamics of neurotransmitters during the treatment of schizophrenia. We investigated the effects of the COMT Val 108/158 Met polymorphism on treatment response to aripiprazole and plasma monoamine metabolite levels in patients with acute schizophrenia. Forty patients with schizophrenia were treated with aripiprazole for 6 weeks. We measured Positive and Negative Syndrome Scale (PANSS) and plasma levels of homovanillic acid (HVA) and plasma MHPG (3-methoxy-4-hydroxyphenethyleneglycol) at baseline and endpoint. The COMT Val 108/158 Met polymorphism was genotyped with the polymerase chain reaction and restriction fragment length polymorphism. There were significant genotype-time interactions on PANSS total and general psychopathology scores, with Met/Met genotype showing greater improvement. The response rate to aripiprazole did not differ between COMT Val 108/158 Met genotype groups. We found a significant time effect on plasma MHPG levels, but no time effect on plasma HVA levels or time-genotype interactions in the plasma levels of HVA and MHPG. Although the responder rate did not differ among the 3 genotype groups. Our results suggest that individuals with the Met/Met genotype had greater improvement in PANSS score after the treatment with aripiprazole. On the other hand, the Val 108/158 Met polymorphism may not induce changes in plasma levels of monoamine metabolites during aripiprazole treatment. Because of the small sample size, further studies are needed to confirm and to extend our results. |
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| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Master | 4 | 21% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 8 | 42% |
Attention Score in Context
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