编辑“︁CYP3A4”︁（章节）

==蛋白转换==
人类的CYP3A4蛋白转换率变化范围很大。 对于[[肝脏]]部分的CYP3A4蛋白，[[体内]]方法估计该酶[[生物半衰期]]（{{langx|en|half-life}}）主要在70到140个小时；[[体外]]方法大概在26到79个小时。<ref name = "Yang"/>[[肠道]]CYP3A4蛋白的转换很可能类似于[[肠上皮细胞]]（{{langx|en|enterocyte}}）的更新率；一种非直接的方法，基于暴露于葡萄柚汁后的活性恢复，其测量结果在12到33个小时。<ref name = "Yang">{{Cite journal | last = Yang | first = J. | authorlink =  | author2 = Liao, M. | author3 = Shou, M. | author4 = Jamei, M. | author5 = Yeo, K. R. | author6 = Tucker, G. T. | author7 = Rostami-Hodjegan, A. | title = Cytochrome P450 turnover: regulation of synthesis and degradation, methods for determining rates, and implications for the prediction of drug interactions | journal = Current Drug Metabolism | volume = 9 | issue = 5 | pages = 384–393 | publisher = [[Bentham Science Publishers|Bentham]] | location =  | date = 2008-06-01 | url = http://www.ingentaconnect.com/content/ben/cdm/2008/00000009/00000005/art00004 | doi = 10.2174/138920008784746382 | pmid = 18537575 | accessdate = 2010-12-20 | archive-date = 2012-10-23 | archive-url = https://web.archive.org/web/20121023203158/http://www.ingentaconnect.com/content/ben/cdm/2008/00000009/00000005/art00004 | dead-url = no }}</ref>
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Estimates of the [[protein turnover|turnover]] rate of human CYP3A4 vary widely. For hepatic CYP3A4, ''in vivo'' methods yield estimates of enzyme [[Biological half-life|half-life]] mainly in the range of 70 to 140 hours, whereas ''in vitro'' methods give estimates from 26 to 79 hours.<ref name = "Yang"/> Turnover of gut CYP3A4 is likely to be a function of the rate of [[enterocyte]] [[cell cycle|renewal]]; an indirect approach based on recovery of activity following exposure to grapefruit juice yields measurements in the 12 to 33 hour range.<ref name = "Yang">{{Cite journal
  | last = Yang | first = J.  | authorlink =
  |author2=Liao, M. |author3=Shou, M. |author4=Jamei, M. |author5=Yeo, K. R. |author6=Tucker, G. T. |author7= Rostami-Hodjegan, A. 
  | title = Cytochrome P450 turnover: regulation of synthesis and degradation, methods for determining rates, and implications for the prediction of drug interactions
  | journal = Current Drug Metabolism | volume = 9 | issue = 5 | pages = 384–393
  | publisher = [[Bentham Science Publishers|Bentham]] | location =  | date = 2008-06-01
  | url = http://www.ingentaconnect.com/content/ben/cdm/2008/00000009/00000005/art00004| doi =  10.2174/138920008784746382| pmid = 18537575 | accessdate = 2010-12-20}}</ref>
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