Back

Soluble guanylate cyclase stimulation mitigates skeletal and cardiac muscle dysfunction in a mdx model of Duchenne muscular dystrophy

Zhang, L.; Xu, Y.; Yousefi, K.; Irion, C. I.; Alvarez, R. A.; Krishnan, S. M.; Stasch, J.-P.; Martinez, E. C.; Buys, E. S.; Sandner, P.; Shehadeh, L. A.; Percival, J. M.

2021-02-15 physiology
10.1101/2021.02.14.431156 bioRxiv
Show abstract

The impairment of neuronal nitric oxide synthase (nNOS) signaling contributes to disease pathology in the muscle wasting disorder Duchenne muscular dystrophy (DMD). nNOS signal propagation occurs through nitric oxide sensitive soluble guanylate cyclase (sGC), a critical source of cyclic guanosine monophosphate (cGMP) in muscle. Although both nNOS and sGC activity are impaired in DMD patients, little is known about sGC as a therapeutic target. In this study, we tested the hypothesis that stimulating sGC activity with the allosteric agonist BAY41-8543 mitigates striated muscle pathology in the mdx4cv mouse model of DMD. In contrast to DMD patients, mdx mice exhibited greater basal sGC activity than wild type controls with preservation of cGMP levels due partly to upregulation of sGC in some muscles. Stimulating sGC activity in mdx mice with BAY41-8543 substantially reduced skeletal muscle damage, macrophage densities and inflammation and significantly increased resistance to contraction-induced fatigue. BAY41-8543 also enhanced in vivo diaphragm function while reducing breathing irregularities suggesting improved respiratory function. BAY41-8543 attenuated cardiac hypertrophic remodeling, fibrosis and diastolic dysfunction including left atrium enlargement in aged mdx mice. Overall, sGC stimulation significantly mitigated skeletal and cardio-respiratory dysfunction in mdx4cv mice. Importantly, this study provides compelling pre-clinical evidence supporting sGC as a novel target in DMD and the repurposing of FDA-approved sGC stimulators, such as riociguat and veraciguat, as a novel therapeutic approach for DMD.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Journal of Cachexia, Sarcopenia and Muscle
27 papers in training set
Top 0.1%
14.8%
2
JCI Insight
241 papers in training set
Top 0.2%
10.2%
3
American Journal of Physiology-Cell Physiology
34 papers in training set
Top 0.1%
8.5%
4
Journal of Clinical Investigation
164 papers in training set
Top 0.6%
4.3%
5
eLife
5422 papers in training set
Top 25%
3.6%
6
The Journal of Physiology
134 papers in training set
Top 0.3%
3.6%
7
Acta Physiologica
13 papers in training set
Top 0.1%
3.6%
8
Function
15 papers in training set
Top 0.1%
3.6%
50% of probability mass above
9
Muscle & Nerve
10 papers in training set
Top 0.1%
2.1%
10
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.7%
11
International Journal of Molecular Sciences
453 papers in training set
Top 7%
1.7%
12
Cell Reports Medicine
140 papers in training set
Top 4%
1.7%
13
Scientific Reports
3102 papers in training set
Top 58%
1.7%
14
The FASEB Journal
175 papers in training set
Top 1%
1.7%
15
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.5%
1.7%
16
Circulation Research
39 papers in training set
Top 0.7%
1.7%
17
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.5%
1.5%
18
Molecular Therapy
71 papers in training set
Top 2%
1.3%
19
Molecular Metabolism
105 papers in training set
Top 1%
1.3%
20
Experimental Physiology
19 papers in training set
Top 0.3%
1.3%
21
PLOS ONE
4510 papers in training set
Top 60%
1.2%
22
Frontiers in Physiology
93 papers in training set
Top 4%
1.1%
23
Aging Cell
144 papers in training set
Top 3%
1.0%
24
Journal of Cellular Physiology
21 papers in training set
Top 0.4%
1.0%
25
iScience
1063 papers in training set
Top 29%
0.8%
26
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
27
JACC: Basic to Translational Science
15 papers in training set
Top 0.4%
0.8%
28
Molecular Therapy - Nucleic Acids
24 papers in training set
Top 0.3%
0.8%
29
Science Advances
1098 papers in training set
Top 31%
0.7%
30
Communications Biology
886 papers in training set
Top 26%
0.7%