| Title |
Potential link between genetic polymorphisms of catechol-O-methyltransferase and dopamine receptors and treatment efficacy of risperidone on schizophrenia
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, December 2017
|
| DOI | 10.2147/ndt.s148824 |
| Pubmed ID | |
| Authors |
Jiyang Han, Yan Li, Xumei Wang |
| Abstract |
The current study aimed to explore the association of single nucleotide polymorphisms (SNPs) within catechol-O-methyltransferase (COMT) and dopamine receptors with schizophrenia and genetic association with risperidone treatment response. A total of 690 schizophrenic patients (case group) were selected and 430 healthy people were included as the controls. All patients received risperidone treatment continuously for 8 weeks. Next, peripheral venous blood samples were collected and were subjected to polymerase chain reaction-restriction fragment length polymorphism to amplify and genotype the SNPs within COMT and dopamine receptors. Then, correlation analysis was conducted between Positive and Negative Syndrome Scale improvement rates and SNPs within COMT and the dopamine receptor gene. The allele of DRD1 rs11749676 (A) emerged as a key element in reducing schizophrenia risk with statistical significance (P<0.001). Remarkably, alleles of COMT rs165774 (G), DRD2 rs6277 (T), and DRD3 rs6280 (C) were associated with raised predisposition to schizophrenia (all P<0.001). Regarding DRD1 rs11746641, DRD1 rs11749676, DRD2 rs6277, and DRD3 rs6280, the case group exhibited a lesser frequency of heterozygotes in comparison with wild homozygotes genotype (all P<0.001). SNPs (COMT rs4680, DRD2 rs6275, DRD2 rs1801028, and DRD2 rs6277) were remarkably associated with improvement rates of PANSS total scores (P<0.05). SNPs (COMT rs165599 and DRD2 rs1801028) were significantly associated with risperidone efficacy on negative symptoms (P<0.05). COMT SNPs and dopamine receptor SNPs were correlated with prevalence of schizophrenia and risperidone treatment efficacy of schizophrenia. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 21% |
| Student > Master | 6 | 16% |
| Researcher | 4 | 11% |
| Lecturer | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 11% |
| Neuroscience | 3 | 8% |
| Psychology | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2017.
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#20,663,600
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Outputs from Neuropsychiatric Disease and Treatment
#2,328
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Outputs of similar age
#338,762
of 444,941 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#52
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