Back

Targeting fibrosis in the Duchenne Muscular Dystrophy mice model: an uphill battle

Theret, M.; Low, M.; Rempel, L.; Li, F. f.; Tung, L. W.; Contreras, O.; Chang, C. K.; Wu, A.; Soliman, H.; Rossi, F. M. V.

2021-01-21 cell biology
10.1101/2021.01.20.427485 bioRxiv
Show abstract

AimFibrosis is the most common complication from chronic diseases, and yet no therapy capable of mitigating its effects is available. Our goal is to unveil specific signallings regulating the fibrogenic process and to identify potential small molecule candidates that block fibrogenic differentiation of fibro/adipogenic progenitors. MethodWe performed a large-scale drug screen using muscle-resident fibro/adipogenic progenitors from a mouse model expressing EGFP under the Collagen1a1 promotor. We first confirmed that the EGFP was expressed in response to TGF{beta}1 stimulation in vitro. Then we treated cells with TGF{beta}1 alone or with drugs from two libraries of known compounds. The drugs ability to block the fibrogenic differentiation was quantified by imaging and flow cytometry. From a two-rounds screening, positive hits were tested in vivo in the mice model for the Duchenne muscular dystrophy (mdx mice). The histopathology of the muscles was assessed with picrosirius red (fibrosis) and laminin staining (myofiber size). Key findingsFrom the in vitro drug screening, we identified 21 drugs and tested 3 in vivo on the mdx mice. None of the three drugs significantly improved muscle histopathology. SignificanceThe in vitro drug screen identified various efficient compounds, none of them strongly inhibited fibrosis in skeletal muscle of mdx mice. To explain these observations, we hypothesize that in Duchenne Muscular Dystrophy, in which fibrosis is a secondary event due to chronic degeneration and inflammation, the drugs tested could have adverse effect on regeneration or inflammation, balancing off any positive effects and leading to the absence of significant results.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Cachexia, Sarcopenia and Muscle
27 papers in training set
Top 0.1%
24.1%
2
Annals of the Rheumatic Diseases
32 papers in training set
Top 0.1%
9.0%
3
PLOS ONE
4510 papers in training set
Top 25%
6.8%
4
Scientific Reports
3102 papers in training set
Top 32%
3.8%
5
Skeletal Muscle
14 papers in training set
Top 0.1%
2.8%
6
Muscle & Nerve
10 papers in training set
Top 0.1%
2.6%
7
JCI Insight
241 papers in training set
Top 3%
2.0%
50% of probability mass above
8
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.3%
1.8%
9
BMJ Open Respiratory Research
32 papers in training set
Top 0.3%
1.8%
10
eLife
5422 papers in training set
Top 39%
1.8%
11
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 35%
1.4%
12
Frontiers in Medicine
113 papers in training set
Top 4%
1.4%
13
Nature Communications
4913 papers in training set
Top 57%
1.2%
14
Pain
70 papers in training set
Top 0.7%
1.0%
15
Stem Cell Research & Therapy
30 papers in training set
Top 0.6%
1.0%
16
Human Molecular Genetics
130 papers in training set
Top 3%
1.0%
17
eBioMedicine
130 papers in training set
Top 3%
1.0%
18
Frontiers in Pharmacology
100 papers in training set
Top 3%
1.0%
19
American Journal of Physiology-Cell Physiology
34 papers in training set
Top 0.3%
0.8%
20
Human Mutation
29 papers in training set
Top 0.6%
0.8%
21
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
22
iScience
1063 papers in training set
Top 29%
0.8%
23
The Journal of Physiology
134 papers in training set
Top 1%
0.8%
24
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
25
PeerJ
261 papers in training set
Top 17%
0.7%
26
Cell Reports Medicine
140 papers in training set
Top 9%
0.7%
27
Wellcome Open Research
57 papers in training set
Top 2%
0.7%
28
The Journal of Pathology
22 papers in training set
Top 0.6%
0.7%
29
Acta Physiologica
13 papers in training set
Top 0.3%
0.7%
30
Science Advances
1098 papers in training set
Top 34%
0.5%