Back

Modelling catheter-associated bladder mucosal adhesion and microtrauma using a human urothelial microtissue model

Jafari, N. V.; Rohn, J. L.

2025-10-14 bioengineering
10.1101/2025.10.13.682137 bioRxiv
Show abstract

Animal models have been used to investigate urinary tract catheters, but most do not accurately recapitulate human bladder physiology nor support different types of catheters. Recent advances in three-dimensional models mimicking tissue microenvironments have improved our understanding of human tissue development and allowed us to model many diseases. Here, our objective was to characterise bladder urothelial mucoadhesion and microtrauma associated with intermittent catheterisation. We employed our three- dimensional Urine-tolerant Human Urothelial model (3D-UHU) to investigate two different intermittent catheter types, a polyvinylpyrrolidone (PVP)-coated catheter (PVP-CC), and a coating-free integrated amphiphilic surfactant (IAS) catheter. We showed that pressing catheters onto the models for two minutes caused compression of the 3D-UHU model in contact regions, with disruption of urothelial umbrella cells detected by immunofluorescence staining of surface markers uroplakin III, cytokeratin-20 and chondroitin sulphate, alongside occasional effacement of apical surfaces exposing intermediate layers. PVP-CC had a significantly higher number of urothelial cells adhered to its surface after catheter removal compared with IAS. Moreover, application and removal of PVP-CC caused a decrease in transepithelial electrical resistance, suggesting barrier disruption, whereas IAS did not cause a statistically different effect. However, no change in paracellular permeability rates assessed by FITC-dextran were observed in models after application of catheter pieces. Finally, compression of models induced trauma-triggered inflammatory cytokine responses. Specifically, we observed increased secretion of the pro- inflammatory cytokine IL-1{beta} as well as the cell adhesion molecule CEACAM1 after exposure to PVP-CC compared with IAS. Our findings suggest that the IAS catheter damaged the epithelium less than the PVP-CC catheter. These data demonstrate that the 3D-UHU model holds promise as an alternative to animal models for investigating the effects of urinary catheters on the urothelium.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 0.1%
19.1%
2
PLOS ONE
5266 papers in training set
Top 23%
7.5%
3
Scientific Reports
3612 papers in training set
Top 9%
7.0%
4
The FASEB Journal
194 papers in training set
Top 0.3%
5.7%
5
Biomaterials
84 papers in training set
Top 0.4%
5.0%
6
American Journal of Physiology-Renal Physiology
28 papers in training set
Top 0.1%
4.5%
7
eLife
5828 papers in training set
Top 28%
4.2%
50% of probability mass above
8
ERJ Open Research
47 papers in training set
Top 0.2%
4.2%
9
Lab on a Chip
96 papers in training set
Top 0.5%
2.5%
10
Acta Biomaterialia
92 papers in training set
Top 0.5%
2.5%
11
Kidney360
22 papers in training set
Top 0.3%
2.2%
12
Disease Models & Mechanisms
119 papers in training set
Top 0.8%
2.2%
13
Bioengineering & Translational Medicine
21 papers in training set
Top 0.2%
2.0%
14
Advanced Science
286 papers in training set
Top 4%
1.8%
15
iScience
1154 papers in training set
Top 22%
1.4%
16
Annals of Biomedical Engineering
37 papers in training set
Top 0.7%
1.2%
17
Biofilm
15 papers in training set
Top 0.2%
1.0%
18
Frontiers in Immunology
638 papers in training set
Top 9%
0.9%
19
Journal of Applied Microbiology
20 papers in training set
Top 0.7%
0.9%
20
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.8%
0.9%
21
Frontiers in Medicine
120 papers in training set
Top 5%
0.6%
22
Journal of Biomechanics
64 papers in training set
Top 0.9%
0.6%
23
Science Advances
1243 papers in training set
Top 32%
0.6%
24
Fluids and Barriers of the CNS
28 papers in training set
Top 0.6%
0.6%
25
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 4%
0.6%
26
Microbiome
154 papers in training set
Top 2%
0.6%
27
American Journal of Infection Control
12 papers in training set
Top 0.2%
0.6%
28
Diagnostics
50 papers in training set
Top 2%
0.6%
29
Bioengineering
29 papers in training set
Top 1%
0.6%
30
Pharmaceutics
24 papers in training set
Top 0.9%
0.5%