Overexpression of Renin-B Induces Warburg-like Effects That Are Associated with Increased AKT/mTOR Signaling.
Janine GolchertDoreen StaarJonathan BennewitzMiriam HartmannNadin HoffmannSabine AmelingLinus VölkerJörg PetersHeike WankaPublished in: Cells (2022)
The classical secretory renin-a is known to be involved in angiotensin generation, thereby regulating not only blood pressure, but also promoting oxidative stress as well as apoptotic and necrotic cell death. In contrast, another cytosolic renin isoform named renin-b has been described, exerting protective effects under ischemia-related conditions in H9c2 cardiomyoblasts. Using microarray-based transcriptome analyses, we aimed to identify the signaling pathways involved in mediating cardioprotection in H9c2 cells overexpressing renin-b. By transcriptome profiling, we identified increased gene expression of several genes encoding glycolytic enzymes and glucose transporters, while the transcript levels of TCA-cycle enzymes were decreased. Complementing data from metabolic analyses revealed enhanced glucose consumption and lactate accumulation due to renin-b overexpression. Renin-b overexpression further stimulated AKT/mTOR signaling, where numerous genes involved in this pathway showed altered transcript levels. For AKT, we also detected enhanced phosphorylation levels by means of Western blotting, suggesting an activation of this kinase. Moreover, analysis of the ROS levels identified an increase in ROS accumulation in renin-b-overexpressing cells. Altogether, our data demonstrate that renin-b overexpression induces the metabolic remodeling of H9c2 cells similar to that seen under oxygen deprivation. This metabolic phenotype exerting so-called aerobic glycolysis is also known as the Warburg effect.
Keyphrases
- angiotensin converting enzyme
- cell death
- cell proliferation
- induced apoptosis
- cell cycle arrest
- signaling pathway
- gene expression
- oxidative stress
- blood pressure
- angiotensin ii
- single cell
- rna seq
- genome wide
- transcription factor
- endoplasmic reticulum stress
- dna methylation
- type diabetes
- adipose tissue
- metabolic syndrome
- big data
- magnetic resonance imaging
- machine learning
- electronic health record
- artificial intelligence
- ischemia reperfusion injury
- protein kinase
- skeletal muscle
- high intensity
- deep learning
- drug induced
- diabetic rats
- insulin resistance