YANG Jing,ZHANG Xinyu,ZHENG Lei,et al.Study on the correlation between opioid-induced constipation and gene polymorphism[J].ZHONGGUO YAOFANG,2023,34(09):1104-1108.
YANG Jing,ZHANG Xinyu,ZHENG Lei,et al.Study on the correlation between opioid-induced constipation and gene polymorphism[J].ZHONGGUO YAOFANG,2023,34(09):1104-1108. DOI: 10.6039/j.issn.1001-0408.2023.09.15.
Study on the correlation between opioid-induced constipation and gene polymorphism
To investigate the effect of gene polymorphism on opioid-induced constipation.
METHODS
2
The target genes related to opioid-induced constipation were screened out through searching guidelines, databases and evidence-based medical data, and then 100 cancer pain patients who received opioid drugs for analgesia were included as the study subjects. According to whether there were adverse effects of constipation after medication or not, they were divided into test group and control group, with 50 cases in each group. The target gene was detected by PCR or fluorescence in situ hybridization. The SNPStats program was used to carry out Hardy-Weinberg balance test and correlation analysis between gene polymorphism and opioid-induced constipation. The multivariate Logistic regression analysis was used to explore the relevant predictive factors of opioid-induced constipation, and receiver operating characteristic (ROC) curve of subjects was drawn to analyze the effectiveness of each predictive factor in predicting opioid-induced constipation.
RESULTS
2
CYP2D6, CYP3A5*3, ABCB1
and
OPRM1
were selected as target genes for detection. The results of genotype detection showed that the frequency distribution of
(047rs1799971) alleles were consistent with Hardy-Weinberg balance test. The correlation analysis results showed that the proportion of genotype GG and AG in
CYP3A5*3
(058rs776746, A>G) and genotype AA and AG in
OPRM1
(047rs1799971, A>G) of patients was significantly higher in test group than that in the control group (
P
<0.05). Multivariate Logistic regression analysis showed that medication duration,
CYP3A5*3
and
OPRM1
gene polymorphism could be used as predictors of opioid-induced constipation in patients (
P
<0.05). The ROC curve analysis results showed that the areas under the ROC curves for medication duration and
CYP3A5*3
,
OPRM1
gene polymorphism were 0.648, 0.640 and 0.670, respectively, with the optimal cutoff values of
124.0, 0.5 and 0.5, respectively.
CONCLUSIONS
2
Genotype GG and AG in
CYP3A5*3
(058rs776746,A>G) and genotype AA and AG in
OPRM1
(047rs1799971,A>G) are associated with opioid-induced constipation, which are expected to become clinical predictors of opioid-induced constipation, and more attention should be paid to the occurrence of constipation in patients who have been taking opioids for a long time.
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