Back

Expanded stoichiometric model of chondrocyte metabolism: response to cyclical shear and compressive loading

Kimmel, A.; Arnold, A. D.; Erdogan, A. E.; Komminni, R.; Myers, E.; Cummins, B.; Carlson, R.; June, R.

2026-03-03 bioengineering
10.64898/2026.03.01.708861 bioRxiv
Show abstract

Cartilage deterioration is a hallmark of the most common joint disease, osteoarthritis, and there is substantial interest in developing strategies for cartilage synthesis and repair. Cyclical mechanical stimulation has been known for decades to drive synthesis of cartilage matrix proteins. Matrix synthesis requires activation of central metabolism for producing precursors to non-essential amino acids required for protein translation. However, there are gaps in knowledge regarding how mechanical stimuli affect chondrocyte central metabolism. Here, we find that cyclical shear and compression drive differences in chondrocyte central metabolism in a sex-dependent manner. Based on established biochemistry, we developed and validated a stoichiometric model containing 139 metabolites and 172 reactions from central metabolism that includes production of the key cartilage matrix proteins of types II and VI collagen and aggrecan. We then used experimental data from shear and compressive stimulation of osteoarthritis chondrocytes to constrain this model and ran multiple simulations examining flux through the production reactions of matrix proteins and ATP. Our results show that both shear and compression can stimulate osteoarthritic chondrocyte metabolism in a manner consistent with production of cartilage matrix proteins, with notable differences in simulated central metabolism between male and female chondrocytes. Additionally, and importantly, our simulation results suggest that nitrogen availability is a key limitation to chondrocyte synthesis of matrix proteins. These results are a starting point for using central metabolism of chondrocytes to optimize synthesis of matrix proteins for cartilage repair. For example, increasing glutamine levels in the presence of cyclical compression has potential to increase production of both types II and VI collagen. These strategies have potential for improving cartilage tissue engineering and repair.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
1633 papers in training set
Top 0.5%
23.4%
2
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.1%
15.3%
3
Journal of The Royal Society Interface
189 papers in training set
Top 0.9%
4.1%
4
Osteoarthritis and Cartilage
30 papers in training set
Top 0.2%
3.7%
5
iScience
1063 papers in training set
Top 8%
2.5%
6
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.8%
2.5%
50% of probability mass above
7
Biophysical Journal
545 papers in training set
Top 2%
2.2%
8
Journal of Biomechanical Engineering
17 papers in training set
Top 0.1%
2.0%
9
Journal of Biomechanics
57 papers in training set
Top 0.3%
2.0%
10
Journal of Orthopaedic Research
19 papers in training set
Top 0.1%
2.0%
11
Scientific Reports
3102 papers in training set
Top 52%
2.0%
12
Royal Society Open Science
193 papers in training set
Top 2%
1.9%
13
eLife
5422 papers in training set
Top 39%
1.9%
14
Journal of Theoretical Biology
144 papers in training set
Top 0.8%
1.7%
15
Science Advances
1098 papers in training set
Top 20%
1.5%
16
Computational and Structural Biotechnology Journal
216 papers in training set
Top 5%
1.5%
17
Advanced Science
249 papers in training set
Top 13%
1.4%
18
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 36%
1.4%
19
ACS Synthetic Biology
256 papers in training set
Top 2%
1.3%
20
Annals of Biomedical Engineering
34 papers in training set
Top 0.8%
1.3%
21
PLOS ONE
4510 papers in training set
Top 61%
1.2%
22
Cell Systems
167 papers in training set
Top 10%
0.9%
23
Nature Communications
4913 papers in training set
Top 59%
0.9%
24
The FASEB Journal
175 papers in training set
Top 3%
0.8%
25
APL Bioengineering
18 papers in training set
Top 0.3%
0.8%
26
Cell Reports
1338 papers in training set
Top 32%
0.8%
27
ACS Omega
90 papers in training set
Top 4%
0.7%
28
Frontiers in Aging Neuroscience
67 papers in training set
Top 4%
0.7%
29
Acta Biomaterialia
85 papers in training set
Top 0.9%
0.7%
30
The Journal of Neuroscience
928 papers in training set
Top 9%
0.5%