Toxicant-Induced Metabolic Alterations in Lipid and Amino Acid Pathways Are Predictive of Acute Liver Toxicity in Rats.
Toxicant-Induced Metabolic Alterations in Lipid and Amino Acid Pathways Are Predictive of Acute Liver Toxicity in Rats.
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毒物诱导的脂质和氨基酸途径代谢改变可预测大鼠急性肝毒性。
DOI:
10.3390/ijms21218250
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发表时间:
2020-11-04
影响因子:
5.6
通讯作者:
Wallqvist A
中科院分区:
文献类型:
--
作者:
Pannala VR;Estes SK;Rahim M;Trenary I;O'Brien TP;Shiota C;Printz RL;Reifman J;Shiota M;Young JD;Wallqvist A
Liver disease and disorders associated with aberrant hepatocyte metabolism can be initiated via drug and environmental toxicant exposures. In this study, we tested the hypothesis that gene and metabolic profiling can reveal commonalities in liver response to different toxicants and provide the capability to identify early signatures of acute liver toxicity. We used Sprague Dawley rats and three classical hepatotoxicants: acetaminophen (2 g/kg), bromobenzene (0.4 g/kg), and carbon tetrachloride (0.3 g/kg), to identify early perturbations in liver metabolism after a single acute exposure dose. We measured changes in liver genes and plasma metabolites at two time points (5 and 10 h) and used genome-scale metabolic models to identify commonalities in liver responses across the three toxicants. We found strong correlations for gene and metabolic profiles between the toxicants, indicative of similarities in the liver response to toxicity. We identified several injury-specific pathways in lipid and amino acid metabolism that changed similarly across the three toxicants. Our findings suggest that several plasma metabolites in lipid and amino acid metabolism are strongly associated with the progression of liver toxicity, and as such, could be targeted and clinically assessed for their potential as early predictors of acute liver toxicity.
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影响因子:
29.4
作者:
Luedde T;Kaplowitz N;Schwabe RF
通讯作者:
Schwabe RF
影响因子:
1.5
作者:
Al-Eryani L;Wahlang B;Falkner KC;Guardiola JJ;Clair HB;Prough RA;Cave M
通讯作者:
Cave M
影响因子:
4.1
作者:
Chen, I-Shu;Chen, Yi-Chen;Chiu, Chih-Hsien
通讯作者:
Chiu, Chih-Hsien
影响因子:
0.9
作者:
Jang, J. H.;Kang, K. J.;Lee, I. S.
通讯作者:
Lee, I. S.
DOI:
10.1002/prca.201600123
发表时间:
2017-01
期刊:
Proteomics. Clinical applications
影响因子:
--
作者:
Gao Y;Cao Z;Yang X;Abdelmegeed MA;Sun J;Chen S;Beger RD;Davis K;Salminen WF;Song BJ;Mendrick DL;Yu LR
通讯作者:
Yu LR