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Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis

BACKGROUND: Nearly 10% to 20% of myasthenia gravis (MG) patients are refractory to conventional treatment for unclear reasons. The study aimed to explore the relationship between drug metabolism gene polymorphisms and refractory MG. METHODS: One hundred and thirty-one MG patients (33 in the refracto...

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Autores principales: Zhang, Qing, Ge, Huizhen, Gui, Mengcui, Yang, Mengge, Bi, Zhuajin, Ma, Xue, Gu, Zhongya, Peng, Shu, Chen, Tao, Bu, Bitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708465/
https://www.ncbi.nlm.nih.gov/pubmed/36467365
http://dx.doi.org/10.21037/atm-22-2543
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author Zhang, Qing
Ge, Huizhen
Gui, Mengcui
Yang, Mengge
Bi, Zhuajin
Ma, Xue
Gu, Zhongya
Peng, Shu
Chen, Tao
Bu, Bitao
author_facet Zhang, Qing
Ge, Huizhen
Gui, Mengcui
Yang, Mengge
Bi, Zhuajin
Ma, Xue
Gu, Zhongya
Peng, Shu
Chen, Tao
Bu, Bitao
author_sort Zhang, Qing
collection PubMed
description BACKGROUND: Nearly 10% to 20% of myasthenia gravis (MG) patients are refractory to conventional treatment for unclear reasons. The study aimed to explore the relationship between drug metabolism gene polymorphisms and refractory MG. METHODS: One hundred and thirty-one MG patients (33 in the refractory group; 98 in the non-refractory group) admitted to Tongji Hospital were included in this retrospective study. Improved multiplex ligation detection reaction (iMLDR) was used to genotype 13 polymorphisms (NR3C1 rs17209237, rs9324921; FKBP5 rs1360780, rs4713904, rs9296158; HSP90AA1 rs10873531, rs2298877, rs7160651; MDR1 rs1045642, rs1128503, rs2032582; CYP3A4 rs2242480; and CYP3A5 rs776746). We applied multivariable logistic regression to investigate the association between refractory MG and nucleotide polymorphisms. Generalized multifactor dimensionality reduction (GMDR) was used to examine gene-gene interactions. RESULTS: CC genotype of HSP90AA1 rs7160651 was associated with the increased risk of refractory MG than CT genotype [odds ratio (OR) =0.26; P=0.041] and CT + TT genotype (dominant model, OR =0.24; P=0.022). For CYP3A5 rs776746, AA genotype was associated with refractory MG compared with AG genotype (OR =0.11; P=0.017), GG genotype (OR =0.18; P=0.033), and AG + GG genotype (dominant model, OR =0.16; P=0.020). The frequency of CAT haplotype of HSP90AA1 rs10873531, rs2298877, rs7160651 was less common in refractory patients (OR =0.33; P=0.044). No significant gene-gene interactions were observed. CONCLUSIONS: HSP90AA1 rs7160651 and CYP3A5 rs776746 were significantly associated with refractory MG. Further studies are warranted to confirm the results and investigate the use of polymorphisms for treatment individualization.
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spelling pubmed-97084652022-12-01 Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis Zhang, Qing Ge, Huizhen Gui, Mengcui Yang, Mengge Bi, Zhuajin Ma, Xue Gu, Zhongya Peng, Shu Chen, Tao Bu, Bitao Ann Transl Med Original Article BACKGROUND: Nearly 10% to 20% of myasthenia gravis (MG) patients are refractory to conventional treatment for unclear reasons. The study aimed to explore the relationship between drug metabolism gene polymorphisms and refractory MG. METHODS: One hundred and thirty-one MG patients (33 in the refractory group; 98 in the non-refractory group) admitted to Tongji Hospital were included in this retrospective study. Improved multiplex ligation detection reaction (iMLDR) was used to genotype 13 polymorphisms (NR3C1 rs17209237, rs9324921; FKBP5 rs1360780, rs4713904, rs9296158; HSP90AA1 rs10873531, rs2298877, rs7160651; MDR1 rs1045642, rs1128503, rs2032582; CYP3A4 rs2242480; and CYP3A5 rs776746). We applied multivariable logistic regression to investigate the association between refractory MG and nucleotide polymorphisms. Generalized multifactor dimensionality reduction (GMDR) was used to examine gene-gene interactions. RESULTS: CC genotype of HSP90AA1 rs7160651 was associated with the increased risk of refractory MG than CT genotype [odds ratio (OR) =0.26; P=0.041] and CT + TT genotype (dominant model, OR =0.24; P=0.022). For CYP3A5 rs776746, AA genotype was associated with refractory MG compared with AG genotype (OR =0.11; P=0.017), GG genotype (OR =0.18; P=0.033), and AG + GG genotype (dominant model, OR =0.16; P=0.020). The frequency of CAT haplotype of HSP90AA1 rs10873531, rs2298877, rs7160651 was less common in refractory patients (OR =0.33; P=0.044). No significant gene-gene interactions were observed. CONCLUSIONS: HSP90AA1 rs7160651 and CYP3A5 rs776746 were significantly associated with refractory MG. Further studies are warranted to confirm the results and investigate the use of polymorphisms for treatment individualization. AME Publishing Company 2022-11 /pmc/articles/PMC9708465/ /pubmed/36467365 http://dx.doi.org/10.21037/atm-22-2543 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhang, Qing
Ge, Huizhen
Gui, Mengcui
Yang, Mengge
Bi, Zhuajin
Ma, Xue
Gu, Zhongya
Peng, Shu
Chen, Tao
Bu, Bitao
Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title_full Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title_fullStr Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title_full_unstemmed Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title_short Polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
title_sort polymorphisms in drug metabolism genes predict the risk of refractory myasthenia gravis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708465/
https://www.ncbi.nlm.nih.gov/pubmed/36467365
http://dx.doi.org/10.21037/atm-22-2543
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