Back

Changing the Fate of Dystrophin-Deficient Myoblasts via Hetero ligand Nanoclusters on Biomaterial Surface: Effects of Integrin-Syndecan or Dystroglycan Crosstalk

Nour, S.; Swiderski, K.; Chee, A.; Murphy, K. T.; Watt, K. I.; Gregorevic, P.; Reevez, C. L.; Gelmi, A.; Lynch, G. S.; O'Connor, A. J.; Qiao, G. G.; Heath, D. E.

2026-04-15 bioengineering
10.64898/2026.04.13.717576 bioRxiv
Show abstract

Engineering skeletal muscle tissue regeneration, particularly in dystrophin-deficient muscles is dependent on facilitating myogenesis and recovery of myotube structure and function, which can be challenging due to compromised cell-extracellular matrix (ECM) interactions. The current study explored the potential impact of enhancing dystrophin-associated protein complex and focal adhesion formation and the interaction with associated target receptors to improve cellular response in both normal and Duchenne muscular dystrophy (Dmd) mutant myoblasts. This was achieved by multivalent dual ligands functionalization of RAFT-synthesized copolymer with fibronectin- and laminin-derived adhesion peptides (RGD, AG73, and A2G80) and their clustering at the biointerface. Our findings demonstrated the synergistic effect of integrin-syndecan/dystroglycan engagement and their clustering on enhancing myoblast adhesion, proliferation, and differentiation, partially overcoming the deficits caused by loss of dystrophin. Furthermore, enhanced focal adhesion formation and elevated receptor localization, particularly dystroglycan, at the sarcolemma were associated with improved structural organization, mechanical stability, and neuromuscular connectivity of myotubes. These results suggest a novel insight into harnessing next-generation molecularly engineered biomaterials with robust interaction with cells mechanosensors for advancing skeletal muscle tissue engineering, offering potential applications in the regeneration of dystrophic muscle and the development of neuromuscular disease models for drug testing. O_FIG O_LINKSMALLFIG WIDTH=174 HEIGHT=200 SRC="FIGDIR/small/717576v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@16c6b87org.highwire.dtl.DTLVardef@107a84borg.highwire.dtl.DTLVardef@1b9e4ddorg.highwire.dtl.DTLVardef@160a9a7_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical Abstract/ToCC_FLOATNO Current work developed molecularly engineered biomaterial surfaces with nanoscale clustering of integrin-, syndecan-, and/or dystroglycan-binding peptides for skeletal muscle tissue regeneration. By controlling peptide distribution and type at the biointerface, cell adhesion, proliferation, and differentiation were modulated in dystrophin-deficient myoblasts. Accordingly, the results demonstrated significant improvement in myotube structural organization, mechanical stiffness, and their innervation in response to heteronanoclusters. C_FIG

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Advanced Healthcare Materials
71 papers in training set
Top 0.1%
21.7%
2
Advanced Functional Materials
41 papers in training set
Top 0.1%
14.2%
3
Advanced Materials
53 papers in training set
Top 0.2%
13.8%
4
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.2%
3.8%
50% of probability mass above
5
Acta Biomaterialia
85 papers in training set
Top 0.2%
3.8%
6
Bioactive Materials
18 papers in training set
Top 0.2%
3.5%
7
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.2%
3.5%
8
Biomaterials Science
21 papers in training set
Top 0.2%
3.5%
9
Biomaterials Advances
20 papers in training set
Top 0.2%
3.1%
10
Advanced Science
249 papers in training set
Top 7%
2.6%
11
Biofabrication
32 papers in training set
Top 0.3%
2.5%
12
ACS Applied Bio Materials
21 papers in training set
Top 0.3%
1.7%
13
Nano Letters
63 papers in training set
Top 2%
1.6%
14
Materials Today Bio
18 papers in training set
Top 0.3%
1.6%
15
Advanced Materials Technologies
27 papers in training set
Top 0.4%
1.6%
16
Biomaterials
78 papers in training set
Top 0.7%
1.4%
17
Advanced Materials Interfaces
10 papers in training set
Top 0.1%
1.4%
18
Biomacromolecules
25 papers in training set
Top 0.2%
1.3%
19
Small
70 papers in training set
Top 0.8%
1.1%
20
ACS Nano
99 papers in training set
Top 4%
0.8%
21
Journal of Biomedical Materials Research Part A
18 papers in training set
Top 0.4%
0.8%
22
Advanced Biology
29 papers in training set
Top 1%
0.7%
23
Cell Reports Physical Science
18 papers in training set
Top 1.0%
0.7%
24
Nature Communications
4913 papers in training set
Top 67%
0.6%