Back

Identification and characterization of a Fibrillin-1 derived matrikine for cardiac regeneration and repair

Edmunds, K. J.; Porter, E. C.; Lai, Y.-R.; Guyette, J.; Williams, C.; Jaiganesh, A.; Ott, H.; Weinbaum, J. S.; Black, L. D.

2025-12-01 bioengineering
10.1101/2025.11.27.690884 bioRxiv
Show abstract

The development of regenerative strategies to repair the heart is of high importance. Our lab has shown that extracellular matrix derived from decellularized fetal myocardium promotes neonatal cardiomyocyte proliferation in vitro. The goal of this study was to identify specific peptide(s)/protein(s) in solubilized cardiac ECM responsible for this proliferative effect. We hypothesized that isolation and then treatment with one or more small synthetic peptide derived from this source could replicate the cellular response to whole solubilized ECM. Decellularized fetal and adult rat hearts were fractionated by molecular weight using SDS-PAGE and transferred to PVDF membranes. Analysis of cardiomyocytes cultured on the membranes revealed regions of enhanced cardiomyocyte proliferation. Subsequent isolation and proteomic analysis of the protein bands that that correlated with proliferative regions identified fibrillin-1 as the predominant ECM protein associated with these regions of cardiomyocyte proliferation. One region (residues 55-86) of fibrillin-1 was synthesized as a peptide and tested for a direct effect on cardiomyocyte proliferation. Compared to positive and negative controls, as well as scrambled and alkylated versions, this peptide led to 3-4 fold increase in cardiomyocyte proliferation. Analysis of the amino acid sequence demonstrated high homology with laent-TGF-{beta} binding proteins and subsequent experiments showed that the matrikine could also reduce TGF-{beta} induced activation of cardiac fibroblasts. These data suggest that individual peptides derived from soluble ECM could have utility as a novel therapeutic for cardiac tissue engineering and regeneration.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 15%
12.6%
2
Scientific Reports
3102 papers in training set
Top 13%
6.9%
3
Journal of Biomedical Materials Research Part A
18 papers in training set
Top 0.1%
4.9%
4
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 0.8%
4.2%
5
International Journal of Molecular Sciences
453 papers in training set
Top 2%
3.7%
6
ACS Omega
90 papers in training set
Top 0.4%
3.7%
7
Biochemistry and Biophysics Reports
28 papers in training set
Top 0.1%
2.9%
8
Annals of Biomedical Engineering
34 papers in training set
Top 0.4%
2.8%
9
Journal of Biological Engineering
10 papers in training set
Top 0.1%
2.5%
10
BMC Cardiovascular Disorders
14 papers in training set
Top 0.7%
2.4%
11
Biomedicines
66 papers in training set
Top 0.5%
2.1%
12
Cytotherapy
14 papers in training set
Top 0.1%
1.8%
50% of probability mass above
13
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 1%
1.8%
14
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.4%
1.8%
15
RSC Advances
18 papers in training set
Top 0.6%
1.7%
16
Cellular and Molecular Bioengineering
21 papers in training set
Top 0.1%
1.7%
17
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 4%
1.7%
18
Frontiers in Physiology
93 papers in training set
Top 3%
1.7%
19
Biomaterials
78 papers in training set
Top 0.5%
1.7%
20
Tissue Engineering Part A
15 papers in training set
Top 0.1%
1.5%
21
Acta Biomaterialia
85 papers in training set
Top 0.6%
1.1%
22
Stem Cell Research & Therapy
30 papers in training set
Top 0.6%
1.0%
23
Experimental Eye Research
30 papers in training set
Top 0.4%
1.0%
24
Biomaterials Advances
20 papers in training set
Top 0.5%
1.0%
25
Bioengineering
24 papers in training set
Top 0.9%
1.0%
26
Biofabrication
32 papers in training set
Top 0.6%
1.0%
27
Journal of Biomechanical Engineering
17 papers in training set
Top 0.3%
1.0%
28
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.4%
0.9%
29
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.9%
30
Journal of Cellular Physiology
21 papers in training set
Top 0.6%
0.8%