Back

Dissecting organoid-bacteria interaction highlights decreased contractile force as a key factor for heart infection

Wang, A.; wang, j.; zhang, z.; yang, c.; deng, c.; Chen, G.; Li, C.; wang, q.; Dong, L.; Wang, C.

2025-04-14 bioengineering
10.1101/2025.04.08.647814 bioRxiv
Show abstract

Bacterial endocarditis is a fatal cardiovascular disease exacerbated by weakened heart contraction, yet the direct impact of cardiac contractility on bacterial adhesion remains elusive. Here, we present a novel quantitative physics model integrating finite element analysis and live-cell imaging to uncover their strong correlation. Using this model, we quantified the real-time force magnitude generated by organoid-type cardiac microtissue derived from healthy donors and dilated cardiomyopathy patients - mimicking normal and suppressed heart contractility, respectively - to the approaching bacteria in a real fluidic system. The data revealed that weakened cardiac contractility facilitated bacterial invasion of the myocardium. Verifying this finding in a mouse transverse aortic constriction model demonstrated that increasing heart contraction efficiently mitigated bacterial invasion, with a 25% increase in heart contractility reducing endocarditis risk by 80%. Our findings demonstrate that patient-derived cardiac organoids provide a physiologically relevant platform for studying bacterial infections in vitro, offering high clinical fidelity. This platform establishes a valuable tool for drug screening and the development of novel therapeutic strategies.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Advanced Science
249 papers in training set
Top 0.1%
52.6%
50% of probability mass above
2
Nature Communications
4913 papers in training set
Top 36%
4.2%
3
APL Bioengineering
18 papers in training set
Top 0.1%
2.8%
4
Acta Biomaterialia
85 papers in training set
Top 0.4%
2.1%
5
Nano Letters
63 papers in training set
Top 1%
2.1%
6
ACS Nano
99 papers in training set
Top 2%
1.9%
7
iScience
1063 papers in training set
Top 11%
1.9%
8
Small
70 papers in training set
Top 0.4%
1.8%
9
Science Advances
1098 papers in training set
Top 17%
1.7%
10
Scientific Reports
3102 papers in training set
Top 57%
1.7%
11
Lab on a Chip
88 papers in training set
Top 0.7%
1.7%
12
Advanced Functional Materials
41 papers in training set
Top 1%
1.7%
13
eLife
5422 papers in training set
Top 42%
1.7%
14
Communications Biology
886 papers in training set
Top 9%
1.7%
15
PLOS Computational Biology
1633 papers in training set
Top 18%
1.5%
16
Advanced Healthcare Materials
71 papers in training set
Top 1%
1.3%
17
Nature Biomedical Engineering
42 papers in training set
Top 1%
1.2%
18
Advanced Materials
53 papers in training set
Top 1%
1.0%
19
Computers in Biology and Medicine
120 papers in training set
Top 4%
0.9%
20
Frontiers in Physics
20 papers in training set
Top 0.9%
0.8%
21
Biophysical Journal
545 papers in training set
Top 5%
0.8%
22
Physical Review Letters
43 papers in training set
Top 0.7%
0.6%
23
Nature Physics
39 papers in training set
Top 1%
0.6%
24
Fluids and Barriers of the CNS
21 papers in training set
Top 0.4%
0.6%
25
The European Physical Journal E
15 papers in training set
Top 0.1%
0.6%
26
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 49%
0.5%
27
Biomaterials
78 papers in training set
Top 2%
0.5%
28
Cell Reports
1338 papers in training set
Top 37%
0.5%