語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Benzene metabolism in humans: Dose-...
~
Kim, Sungkyoon.
FindBook
Google Book
Amazon
博客來
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability./
作者:
Kim, Sungkyoon.
面頁冊數:
131 p.
附註:
Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2448.
Contained By:
Dissertation Abstracts International67-05B.
標題:
Health Sciences, Toxicology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3219477
ISBN:
9780542690853
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability.
Kim, Sungkyoon.
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability.
- 131 p.
Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2448.
Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2006.
In order to gain a better understanding of dose-dependant metabolism of benzene and interindividual variation, we analyzed air benzene, urinary metabolites and personal information, including single nucleotide polymorphisms of key metabolic enzymes, from 389 subjects exposed to benzene occupationally/environmentally. The apparent levels of benzene metabolites increased with exposure, and levels of benzene metabolites were unambiguously different from background levels at: ∼ 0.2 ppm for E,E-muconic acid (MA) and S-phenylmercapturic acid (SPMA), ∼ 0.5 ppm for phenol (PH) and hydroquinone (HQ), and ∼2 ppm. for catechol (CA). After adjustment for the background levels, MA, PH, CA and HQ showed significant (p<0.001) downward trends of dose-related production between 0.027 and 15.4 ppm. The transitions were particularly accentuated at lower exposure (0.027 and 0.274 ppm) for all metabolites. These were confirmed with generalized linear models with natural splines (GLM+NS). Based on analysis using the molar fraction, CYP-mediated metabolic pathways favored MA and HQ below 20 ppm and favored PH and CA above 20 ppm. Noticeably, ∼90% of the reductions in dose-specific levels occurred below ∼3 ppm for each major metabolite. Metabolite levels were about 20% higher in females and decreased between one and 2% per year of life. Also, levels of HQ and CA were greater in smokers. After adjustment for age, gender, BMI and smoking status, the following SNPs showed significant effect on various metabolites, either as main effects or as interactions with benzene exposure and/or smoking: NQO1*2 for all metabolites, CYP2E1 for all metabolites except CA, GSTT1 and GSTM1 for SPMA, EPHX1 (Ex4+52A>G) for SPMA and CA, and EPHX1 (Ex3-28T>C) for CA. Interestingly, variant alleles of all genes [except EPHX1 (Ex4+52A>G)] appeared to be associated with lower levels of benzene metabolites relative to homozygous wild alleles. In conclusion, our results indicate that benzene metabolism is highly nonlinear with increasing benzene exposure above 0.03 ppm, and that metabolism shifts away from CA and PH at low doses in favor of MA and HQ. Also, metabolism of benzene is modulated by exposure, gender, age, smoking, and genetic polymorphisms.
ISBN: 9780542690853Subjects--Topical Terms:
1017752
Health Sciences, Toxicology.
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability.
LDR
:03201nmm 2200277 4500
001
1831480
005
20070511144447.5
008
130610s2006 eng d
020
$a
9780542690853
035
$a
(UnM)AAI3219477
035
$a
AAI3219477
040
$a
UnM
$c
UnM
100
1
$a
Kim, Sungkyoon.
$3
1920266
245
1 0
$a
Benzene metabolism in humans: Dose-dependent metabolism and interindividual variability.
300
$a
131 p.
500
$a
Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2448.
500
$a
Adviser: Stephen M. Rappaport.
502
$a
Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2006.
520
$a
In order to gain a better understanding of dose-dependant metabolism of benzene and interindividual variation, we analyzed air benzene, urinary metabolites and personal information, including single nucleotide polymorphisms of key metabolic enzymes, from 389 subjects exposed to benzene occupationally/environmentally. The apparent levels of benzene metabolites increased with exposure, and levels of benzene metabolites were unambiguously different from background levels at: ∼ 0.2 ppm for E,E-muconic acid (MA) and S-phenylmercapturic acid (SPMA), ∼ 0.5 ppm for phenol (PH) and hydroquinone (HQ), and ∼2 ppm. for catechol (CA). After adjustment for the background levels, MA, PH, CA and HQ showed significant (p<0.001) downward trends of dose-related production between 0.027 and 15.4 ppm. The transitions were particularly accentuated at lower exposure (0.027 and 0.274 ppm) for all metabolites. These were confirmed with generalized linear models with natural splines (GLM+NS). Based on analysis using the molar fraction, CYP-mediated metabolic pathways favored MA and HQ below 20 ppm and favored PH and CA above 20 ppm. Noticeably, ∼90% of the reductions in dose-specific levels occurred below ∼3 ppm for each major metabolite. Metabolite levels were about 20% higher in females and decreased between one and 2% per year of life. Also, levels of HQ and CA were greater in smokers. After adjustment for age, gender, BMI and smoking status, the following SNPs showed significant effect on various metabolites, either as main effects or as interactions with benzene exposure and/or smoking: NQO1*2 for all metabolites, CYP2E1 for all metabolites except CA, GSTT1 and GSTM1 for SPMA, EPHX1 (Ex4+52A>G) for SPMA and CA, and EPHX1 (Ex3-28T>C) for CA. Interestingly, variant alleles of all genes [except EPHX1 (Ex4+52A>G)] appeared to be associated with lower levels of benzene metabolites relative to homozygous wild alleles. In conclusion, our results indicate that benzene metabolism is highly nonlinear with increasing benzene exposure above 0.03 ppm, and that metabolism shifts away from CA and PH at low doses in favor of MA and HQ. Also, metabolism of benzene is modulated by exposure, gender, age, smoking, and genetic polymorphisms.
590
$a
School code: 0153.
650
4
$a
Health Sciences, Toxicology.
$3
1017752
650
4
$a
Environmental Sciences.
$3
676987
690
$a
0383
690
$a
0768
710
2 0
$a
The University of North Carolina at Chapel Hill.
$3
1017449
773
0
$t
Dissertation Abstracts International
$g
67-05B.
790
1 0
$a
Rappaport, Stephen M.,
$e
advisor
790
$a
0153
791
$a
Ph.D.
792
$a
2006
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3219477
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9222343
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入