Back

Decoupled ionic and particulate clearance pathways determine the in vivo fate of a synthetic nanoclay-BMP-2 biomaterial during ectopic bone induction.

Kim, Y.-H.; Milan, J. A.; Kanczler, J.; Janeczek, A.; Oreffo, R. O. C.; Dawson, J. I.

2026-05-06 bioengineering
10.64898/2026.05.01.722265 bioRxiv
Show abstract

Nanoclay-based biomaterials offer promise for localised growth factor presentation, yet their in vivo degradation, clearance, and systemic fate remain poorly defined. Here, we investigate the fate of a synthetic nanoclay-BMP-2 gel during ectopic bone induction using a combination of in vivo imaging, histology, and component-resolved elemental analysis. Fluorescent tracking confirmed prolonged localisation of BMP-2 within the nanoclay gel and robust bone induction despite negligible growth-factor release. Inductively coupled plasma mass spectrometry (ICP-MS) revealed divergent clearance kinetics for lithium and silicon, structurally distinct components of the clay crystalline lattice, indicating decoupled ionic and particulate degradation pathways. Early clearance was dominated by cell-mediated fragmentation and the transport of clay particulates, while later stages involved preferential lithium release associated with local clay dissolution as well as integration within newly formed bone. Systemic biodistribution analysis demonstrated rapid, transient lithium release into circulation with renal clearance, contrasted with initial hepatic and then later-phase renal handling of silicon species. Together, these findings define a multiphasic in vivo clearance model for nanoclay biomaterials consistent with progressive remodelling, localised BMP-2 activity and, importantly, safe systemic handling. This work provides mechanistic insight into the activity and clearance of nanoclay-based regenerative therapies and establishes the importance of component-resolved tracking for evaluating the biodistribution of degradable inorganic biomaterials.

Matching journals

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

1
Advanced Materials
53 papers in training set
Top 0.1%
23.1%
2
Advanced Healthcare Materials
71 papers in training set
Top 0.1%
15.1%
3
Advanced Functional Materials
41 papers in training set
Top 0.2%
10.7%
4
Advanced Science
249 papers in training set
Top 2%
7.4%
50% of probability mass above
5
Acta Biomaterialia
85 papers in training set
Top 0.2%
5.0%
6
Nature Communications
4913 papers in training set
Top 35%
4.4%
7
Science Advances
1098 papers in training set
Top 5%
3.7%
8
ACS Nano
99 papers in training set
Top 2%
2.7%
9
Biomaterials
78 papers in training set
Top 0.5%
1.8%
10
Nano Letters
63 papers in training set
Top 1%
1.7%
11
Small
70 papers in training set
Top 0.4%
1.7%
12
Biomaterials Advances
20 papers in training set
Top 0.3%
1.7%
13
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.6%
1.4%
14
Bioactive Materials
18 papers in training set
Top 0.5%
1.3%
15
Bioengineering & Translational Medicine
21 papers in training set
Top 0.6%
1.3%
16
Advanced Materials Interfaces
10 papers in training set
Top 0.2%
0.9%
17
Nature Biotechnology
147 papers in training set
Top 7%
0.9%
18
Biomaterials Science
21 papers in training set
Top 0.5%
0.8%
19
Scientific Reports
3102 papers in training set
Top 73%
0.8%
20
Nature Materials
21 papers in training set
Top 1%
0.7%
21
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 49%
0.5%
22
ACS Applied Bio Materials
21 papers in training set
Top 1%
0.5%