Back

Exercise Mitigates Flow Recirculation and Activates Mechanosensitive Transcriptome to Uncover Endothelial SCD1-Catalyzed Anti-Inflammatory Metabolites

Cavallero, S.; Roustaei, M.; Satta, S.; Cho, J. M.; Phan, H.; Baek, K. I.; Blazquez-Medela, A. M.; Gonzalez-Ramos, S.; Vu, K.; Park, S.-K.; Yokota, T.; Sumner, J. A.; Mack, J.; Sigmund, C. D.; Reddy, S.; Li, R.; Hsiai, T. K.

2023-05-04 physiology
10.1101/2023.05.02.539172 bioRxiv
Show abstract

Exercise modulates vascular plasticity in multiple organ systems; however, the metabolomic transducers underlying exercise and vascular protection in the disturbed flow-prone vasculature remain under-investigated. We simulated exercise-augmented pulsatile shear stress (PSS) to mitigate flow recirculation in the lesser curvature of the aortic arch. When human aortic endothelial cells (HAECs) were subjected to PSS ({tau}ave = 50 dyne{middle dot}cm-2, {partial}{tau}/{partial}t = 71 dyne{middle dot}cm-2{middle dot}s-1, 1 Hz), untargeted metabolomic analysis revealed that Stearoyl-CoA Desaturase (SCD1) in the endoplasmic reticulum (ER) catalyzed the fatty acid metabolite, oleic acid (OA), to mitigate inflammatory mediators. Following 24 hours of exercise, wild-type C57BL/6J mice developed elevated SCD1-catalyzed lipid metabolites in the plasma, including OA and palmitoleic acid (PA). Exercise over a 2-week period increased endothelial SCD1 in the ER. Exercise further modulated the time-averaged wall shear stress (TAWSS or{tau} ave) and oscillatory shear index (OSIave), upregulated Scd1 and attenuated VCAM1 expression in the disturbed flow-prone aortic arch in Ldlr-/- mice on high-fat diet but not in Ldlr-/-Scd1EC-/- mice. Scd1 overexpression via recombinant adenovirus also mitigated ER stress. Single cell transcriptomic analysis of the mouse aorta revealed interconnection of Scd1 with mechanosensitive genes, namely Irs2, Acox1 and Adipor2 that modulate lipid metabolism pathways. Taken together, exercise modulates PSS ({tau}ave and OSIave) to activate SCD1 as a metabolomic transducer to ameliorate inflammation in the disturbed flow-prone vasculature.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 0.1%
18.5%
2
Cell Reports
1338 papers in training set
Top 2%
10.4%
3
Function
15 papers in training set
Top 0.1%
10.0%
4
Circulation Research
39 papers in training set
Top 0.2%
6.3%
5
eLife
5422 papers in training set
Top 17%
4.8%
50% of probability mass above
6
iScience
1063 papers in training set
Top 5%
3.6%
7
Nature Communications
4913 papers in training set
Top 40%
3.6%
8
Circulation
66 papers in training set
Top 1.0%
3.6%
9
Redox Biology
64 papers in training set
Top 0.3%
2.1%
10
Hypertension
32 papers in training set
Top 0.4%
1.9%
11
Cardiovascular Research
33 papers in training set
Top 0.4%
1.8%
12
The Journal of Physiology
134 papers in training set
Top 0.8%
1.7%
13
Acta Pharmaceutica Sinica B
11 papers in training set
Top 0.4%
1.7%
14
Journal of the American Heart Association
119 papers in training set
Top 3%
1.7%
15
Journal of Clinical Investigation
164 papers in training set
Top 4%
1.5%
16
Nature Cardiovascular Research
28 papers in training set
Top 0.3%
1.5%
17
Atherosclerosis
29 papers in training set
Top 0.9%
1.1%
18
The FASEB Journal
175 papers in training set
Top 2%
1.1%
19
PNAS Nexus
147 papers in training set
Top 0.9%
0.9%
20
Science Advances
1098 papers in training set
Top 25%
0.9%
21
Journal of Cellular Physiology
21 papers in training set
Top 0.5%
0.9%
22
Scientific Reports
3102 papers in training set
Top 71%
0.9%
23
Aging Cell
144 papers in training set
Top 3%
0.9%
24
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 1%
0.8%
25
JCI Insight
241 papers in training set
Top 7%
0.7%
26
Molecular Metabolism
105 papers in training set
Top 2%
0.7%
27
American Journal of Physiology-Endocrinology and Metabolism
34 papers in training set
Top 0.4%
0.7%
28
Acta Physiologica
13 papers in training set
Top 0.3%
0.7%
29
eBioMedicine
130 papers in training set
Top 5%
0.6%
30
Metabolism
14 papers in training set
Top 0.6%
0.6%