Back

Directional bone matrix mineralization in the CAM assay is governed by vascular integration and matrix remodeling

Onissema Karimu, S.; Sutter, S. M.; Choi, S.; Sun, S.; Butcher, J.; Estroff, L. A.; Fischbach, C.

2026-06-02 bioengineering
10.64898/2026.05.29.728599 bioRxiv
Show abstract

Bone matrix mineralization plays an important role in maintaining bone health but is a highly dynamic process for which few physiologically relevant model systems exist. The chorioallantoic membrane (CAM) assay is one such assay and has been used to study biomineralization; however, the mechanisms controlling mineral deposition in the CAM assay remain poorly understood. Here, we implanted decellularized, organic bone matrices onto the CAM and investigated their mineralization using a combination of micro-computed tomography, Raman spectroscopy, scanning electron microscopy, and histochemistry. These studies revealed increased mineralization and microvessel density on the shell-facing interface of the implanted matrices, while their embryo-facing counterpart lacked mineralization but was densely infiltrated by cells. Seeding organic bone matrices with mesenchymal stromal cells (MSCs) prior to CAM-implantation prevented mineralization by altering matrix micro- and nanostructure and limiting vessel integration. Collectively, our results suggest that mineral precursors from the eggshell and vasculature combine to mineralize organic bone matrix in the CAM assay, while proteolytic remodeling by invaded or implanted stromal cells inhibits that process. Our findings provide critical new insights into the interplay between acellular and cellular drivers of bone matrix mineralization, and will inform future studies of biomineralization using the CAM assay.

Matching journals

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

1
Biomaterials
84 papers in training set
Top 0.2%
7.9%
2
Advanced Science
286 papers in training set
Top 0.5%
7.9%
3
Science Advances
1243 papers in training set
Top 2%
7.9%
4
Acta Biomaterialia
92 papers in training set
Top 0.2%
7.9%
5
Bone
25 papers in training set
Top 0.1%
6.7%
6
Nature Communications
5641 papers in training set
Top 27%
5.5%
7
Scientific Reports
3612 papers in training set
Top 19%
5.1%
8
Advanced Healthcare Materials
85 papers in training set
Top 0.4%
5.1%
50% of probability mass above
9
eLife
5828 papers in training set
Top 25%
4.8%
10
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 12%
4.3%
11
Communications Biology
993 papers in training set
Top 5%
3.2%
12
Advanced Functional Materials
46 papers in training set
Top 0.4%
3.2%
13
Journal of Bone and Mineral Research
35 papers in training set
Top 0.2%
1.7%
14
PLOS ONE
5266 papers in training set
Top 48%
1.7%
15
Cellular and Molecular Bioengineering
22 papers in training set
Top 0.2%
1.7%
16
JBMR Plus
18 papers in training set
Top 0.2%
1.5%
17
Biomaterials Advances
22 papers in training set
Top 0.4%
1.5%
18
Tissue Engineering Part A
15 papers in training set
Top 0.2%
1.1%
19
Journal of Biomedical Materials Research Part A
20 papers in training set
Top 0.4%
1.1%
20
PNAS Nexus
159 papers in training set
Top 3%
1.0%
21
Advanced Materials Interfaces
10 papers in training set
Top 0.2%
1.0%
22
American Journal of Physiology-Cell Physiology
39 papers in training set
Top 0.8%
0.8%
23
Journal of Biological Chemistry
690 papers in training set
Top 9%
0.8%
24
Royal Society Open Science
214 papers in training set
Top 6%
0.8%
25
The FASEB Journal
194 papers in training set
Top 6%
0.8%
26
iScience
1154 papers in training set
Top 40%
0.6%
27
Matrix Biology
29 papers in training set
Top 0.7%
0.6%
28
Journal of The Royal Society Interface
235 papers in training set
Top 5%
0.6%
29
ACS Nano
113 papers in training set
Top 2%
0.6%
30
Developmental Dynamics
56 papers in training set
Top 0.8%
0.6%