ACE overexpression in myeloid cells increases oxidative metabolism and cellular ATP.
Duo-Yao CaoWeston R SpiviaLuciana C VeirasZakir KhanZhenzi PengAnthony E JonesEllen A BernsteinSuguru SaitoDerick Okwan-DuoduSarah J ParkerJorge F GianiAjit S DivakaruniJennifer E Van EykKenneth E BernsteinPublished in: The Journal of biological chemistry (2019)
Angiotensin-converting enzyme (ACE) affects blood pressure. In addition, ACE overexpression in myeloid cells increases their immune function. Using MS and chemical analysis, we identified marked changes of intermediate metabolites in ACE-overexpressing macrophages and neutrophils, with increased cellular ATP (1.7-3.0-fold) and Krebs cycle intermediates, including citrate, isocitrate, succinate, and malate (1.4-3.9-fold). Increased ATP is due to ACE C-domain catalytic activity; it is reversed by an ACE inhibitor but not by an angiotensin II AT1 receptor antagonist. In contrast, macrophages from ACE knockout (null) mice averaged only 28% of the ATP levels found in WT mice. ACE overexpression does not change cell or mitochondrial size or number. However, expression levels of the electron transport chain proteins NDUFB8 (complex I), ATP5A, and ATP5β (complex V) are significantly increased in macrophages and neutrophils, and COX1 and COX2 (complex IV) are increased in macrophages overexpressing ACE. Macrophages overexpressing ACE have increased mitochondrial membrane potential (24% higher), ATP production rates (29% higher), and maximal respiratory rates (37% higher) compared with WT cells. Increased cellular ATP underpins increased myeloid cell superoxide production and phagocytosis associated with increased ACE expression. Myeloid cells overexpressing ACE indicate the existence of a novel pathway in which myeloid cell function can be enhanced, with a key feature being increased cellular ATP.
Keyphrases
- angiotensin converting enzyme
- angiotensin ii
- induced apoptosis
- vascular smooth muscle cells
- blood pressure
- bone marrow
- cell cycle arrest
- dendritic cells
- cell proliferation
- acute myeloid leukemia
- poor prognosis
- machine learning
- type diabetes
- immune response
- mesenchymal stem cells
- multiple sclerosis
- magnetic resonance imaging
- high fat diet induced
- deep learning
- cell therapy
- hydrogen peroxide
- mass spectrometry
- computed tomography
- ms ms
- weight loss
- pi k akt
- wild type
- skeletal muscle
- risk assessment
- data analysis
- insulin resistance