2018
DOI: 10.1007/s00395-018-0698-6
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Activating transcription factor 3 in cardiovascular diseases: a potential therapeutic target

Abstract: Cardiovascular diseases (CVDs) are the primary causes of death worldwide. Among the numerous signaling molecules involved in CVDs, transcriptional factors directly influence gene expression and play a critical role in regulating cell function and the development of diseases. Activating transcription factor (ATF) 3 is an adaptive-response gene in the ATF/cAMP responsive element-binding (CREB) protein family of transcription factors that acts as either a repressor or an activator of transcription via the formati… Show more

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Cited by 92 publications
(64 citation statements)
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“…In fact, in response to mitochondrial damage, MKP1 has been found to be a protector for the damaged mitochondria. However, this protective factor was significantly inhibited by LPS (Zhou et al, ; Zou et al, ). Therefore, our findings provide further insight into the mechanism of mitochondrial injury induced by the inflammatory response, which also provide a potential target to increase mitochondrial resistance against inflammatory damage.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, in response to mitochondrial damage, MKP1 has been found to be a protector for the damaged mitochondria. However, this protective factor was significantly inhibited by LPS (Zhou et al, ; Zou et al, ). Therefore, our findings provide further insight into the mechanism of mitochondrial injury induced by the inflammatory response, which also provide a potential target to increase mitochondrial resistance against inflammatory damage.…”
Section: Discussionmentioning
confidence: 99%
“…Transfection was performed for approximately 48 hours. Then, Western blotting was used to observe the knockdown efficiency after harvesting the transfected cells …”
Section: Methodsmentioning
confidence: 99%
“…Finally, the optical density (OD) was measured by a microplate reader at 490 nm. All viability assays were performed in duplicate (H. Zhou, Li, Yuan, et al, 2018); the percentage growth inhibition was calculated using the following formula: Cell viability (%) = (A 490 treatment − A 490 blank )/ (A 490 control − A 490 blank ) × 100 (control: serum-free DMEM with cells; blank: serum-free DMEM without cells) (H. Zhang, Jin, & Faber, 2019).…”
mentioning
confidence: 99%