Probing functional interactions between cytochromes P450 with principal component analysis of substrate saturation profiles and targeted proteomics.
Probing functional interactions between cytochromes P450 with principal component analysis of substrate saturation profiles and targeted proteomics.
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探测细胞色素P450之间的功能相互作用与底物饱和度和靶向蛋白质组学的主要成分分析。
DOI:
10.1016/j.abb.2021.108937
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发表时间:
2021-09-15
影响因子:
3.9
通讯作者:
Davydov DR
中科院分区:
文献类型:
--
作者:
Dangi B;Davydova NY;Maldonado MA;Ahire D;Prasad B;Davydov DR
We investigated the correspondence between drug metabolism routes and the composition of the P450 ensemble in human liver microsomes (HLM). As a probe, we used Coumarin 152 (C152), a fluorogenic substrate metabolized by multiple P450 species. Studying the substrate-saturation profiles (SSP) in seven pooled HLM preparations, we sought to correlate them with the P450 pool’s composition characterized by targeted proteomics. This analysis, complemented with the assays with specific inhibitors of CYP3A4 and CYP2C19, the primary C152 metabolizers, demonstrated a significant contrast between different HLM samples. To unveil the source of these differences, we implemented Principal Component Analysis (PCA) of the SSP series obtained with HLM samples with a known composition of the P450 pool. Our analysis revealed that the parameters of C152 metabolism are primarily determined by the content of CYP2A6, CYP2B6, CYP2C8, CYP2E1, and CYP3A5 of those only CYP2B6 and CYP3A5 can metabolize C152. To validate this finding, we studied the effect of enriching HLM with CYP2A6, CYP2E1, and CYP3A5. The incorporation of CYP3A5 into HLM decreases the rate of C152 metabolism while increasing the role of CYP2B6 in its turnover. In contrast, incorporation of CYP2A6 and CYP2E1 reroutes the C152 demethylation towards some P450 enzyme with a moderate affinity to the substrate, most likely CYP3A4. Our results reveal a sharp non-additivity of the individual P450 properties and suggest a pivotal role of P450-P450 interactions in determining drug metabolism routes. This study demonstrates the high potential of our new PCA-based approach in unveiling functional interrelationships between different P450 species.
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DOI:
10.1080/00498254.2020.1775913
发表时间:
2020-12
期刊:
Xenobiotica; the fate of foreign compounds in biological systems
影响因子:
--
作者:
Dangi B;Davydova NY;Vavilov NE;Zgoda VG;Davydov DR
通讯作者:
Davydov DR
影响因子:
3.9
作者:
Prasad, Bhagwat;Bhatt, Deepak Kumar;Unadkat, Jashvant D.
通讯作者:
Unadkat, Jashvant D.
影响因子:
4.6
作者:
Gao, Na;Tian, Xin;Qiao, Hailing
通讯作者:
Qiao, Hailing
DOI:
10.1042/bcj20170543
发表时间:
2017-10-10
期刊:
The Biochemical journal
影响因子:
--
作者:
Davydov DR;Davydova NY;Rodgers JT;Rushmore TH;Jones JP
通讯作者:
Jones JP
影响因子:
13.5
作者:
Reed, James R.;Backes, Wayne L.
通讯作者:
Backes, Wayne L.