Potential therapeutic targets in Nrf2-dependent protection against neonatal respiratory distress disease predicted by cDNA microarray analysis and bioinformatics tools.
Potential therapeutic targets in Nrf2-dependent protection against neonatal respiratory distress disease predicted by cDNA microarray analysis and bioinformatics tools.
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DOI:
10.1016/j.cotox.2016.10.006
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发表时间:
2016-12
影响因子:
4.6
通讯作者:
Kleeberger SR
中科院分区:
文献类型:
--
作者:
Cho HY;Wang X;Li J;Bell DA;Kleeberger SR
Hyperoxia exposure of newborn rodents has served as a model for bronchopulmonary dysplasia (BPD) phenotypes found in a sub-population of human premature infants. We previously demonstrated that Nrf2 modulates molecular events during saccular-to-alveolar lung maturation and also has a protective role in the pathogenesis of hyperoxia-induced acute lung injury, mortality, arrest of saccular-to-alveolar transition, and lung injury, using Nrf2-deficient and wild-type neonate mice. In this review, we describe how whole-genome transcriptome analyses can identify the means through which Nrf2 transcriptionally modulates organ injury and morphology, cellular growth/proliferation, vasculature development, and immune response during BPD-like pathogenesis. We illustrate how recently developed bioinformatics tools can be used to identify sets of Nrf2-dependently modulated genes in the BPD model, and elucidate direct Nrf2 downstream targets and chemicals/drugs that may act on them. These approaches will provide significant insights into promising therapeutic agents for Nrf2-dependent treatments of complications of preterm birth like BPD.
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影响因子:
--
作者:
Findlay, Victoria J.;LaRue, Amanda C.;Turner, David P.;Watson, Patricia M.;Watson, Dennis K.
通讯作者:
Watson, Dennis K.
影响因子:
3
作者:
Clark NR;Hu KS;Feldmann AS;Kou Y;Chen EY;Duan Q;Ma'ayan A
通讯作者:
Ma'ayan A
影响因子:
5.3
作者:
Kobayashi, Makoto;Li, Li;Yamamoto, Masayuki
通讯作者:
Yamamoto, Masayuki
DOI:
10.1164/rccm.200907-1047oc
发表时间:
2010-07-01
影响因子:
24.7
作者:
Cho, Hye-Youn;Gladwell, Wesley;Kleeberger, Steven R.
通讯作者:
Kleeberger, Steven R.
影响因子:
3.6
作者:
Jobe AH
通讯作者:
Jobe AH