Back

Reversal of elevated Gli3 in Autosomal Recessive Polycystic Kidney Disease does not alter cystogenesis

Russell, L. G.; Kolatsi-Joannou, M.; Wilson, L.; Chandler, J. C.; Perretta Tejedor, N.; Stagg, G.; Price, K. L.; Rowan, C. J.; Crompton, T.; Rosenblum, N. D.; Winyard, P. J.; Long, D. A.

2024-09-22 physiology
10.1101/2024.09.18.613676 bioRxiv
Show abstract

Polycystic kidney diseases (PKD) are genetic disorders characterised by the formation of fluid-filled cysts, which disrupt kidney architecture and function. Autosomal recessive PKD (ARPKD) is a rare form of PKD, caused by mutations in PKHD1, and clinically more severe than the more common autosomal dominant PKD (ADPKD). Prior studies have implicated the ciliary-located Hedgehog (Hh) pathway in ADPKD, with increased levels of Hh components in experimental ADPKD models, and reduced cystogenesis following pharmacological Hh inhibition. In contrast, the role of the Hh pathway in ARPKD is poorly understood. We hypothesised that Hh pathway activity would be elevated during ARPKD pathogenesis, and its modulation may inhibit cystogenesis, akin to prior findings in ADPKD. To test this, we utilised Cpk mice, a model which replicates the pathophysiology of ARPKD, and generated a human cellular ARPKD 3-dimensional cystogenesis model by mutating PKHD1 in human collecting duct cells through CRISPR-Cas9 technology. We found significantly elevated levels of the Hh transcriptional effector Gli3 in the Cpk mouse, a finding replicated in our human cellular ARPKD model. In the Cpk mouse, we also observed an increase in total GLI3 and GLI3 repressor protein levels. However, reduction of increased Gli3 levels via genetic deletion in the Cpk mouse did not affect cyst formation. Similarly, lowering GLI3 transcript to wildtype levels, did not influence cyst size in our human cellular ARPKD model. Collectively, these data show that elevated Gli3 does not modulate cyst progression in the context of ARPKD, highlighting the complexity of the Hh pathway in PKD. New and NoteworthyThe role of the Hedgehog pathway in autosomal recessive polycystic kidney disease (ARPKD) is poorly understood. Here, we describe elevated levels of Gli3, the Hedgehog transcriptional effector, in murine and human ARPKD models. However, reversal of the increase in Gli3 did not significantly affect cystogenesis in a human cell model of ARPKD or disease progression in a mouse model which replicates ARPKD pathophysiology. Collectively, our data indicates that Gli3 does not modulate ARPKD progression.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Kidney International
25 papers in training set
Top 0.1%
23.5%
2
American Journal of Physiology-Renal Physiology
25 papers in training set
Top 0.1%
18.3%
3
Journal of the American Society of Nephrology
52 papers in training set
Top 0.1%
10.9%
50% of probability mass above
4
Scientific Reports
3102 papers in training set
Top 11%
7.5%
5
PLOS ONE
4510 papers in training set
Top 26%
6.6%
6
The FASEB Journal
175 papers in training set
Top 0.2%
3.7%
7
JCI Insight
241 papers in training set
Top 2%
2.8%
8
Disease Models & Mechanisms
119 papers in training set
Top 0.6%
2.8%
9
Kidney360
22 papers in training set
Top 0.3%
2.2%
10
Journal of Cellular and Molecular Medicine
18 papers in training set
Top 0.5%
1.3%
11
PLOS Genetics
756 papers in training set
Top 12%
1.2%
12
Hypertension
32 papers in training set
Top 0.6%
1.0%
13
eLife
5422 papers in training set
Top 51%
1.0%
14
Cells
232 papers in training set
Top 5%
0.9%
15
Clinical Proteomics
10 papers in training set
Top 0.2%
0.8%
16
Diabetologia
36 papers in training set
Top 0.9%
0.8%
17
Frontiers in Physiology
93 papers in training set
Top 5%
0.8%
18
Nature Communications
4913 papers in training set
Top 61%
0.8%
19
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 43%
0.8%
20
Human Molecular Genetics
130 papers in training set
Top 4%
0.7%
21
Frontiers in Molecular Biosciences
100 papers in training set
Top 6%
0.7%
22
International Journal of Molecular Sciences
453 papers in training set
Top 19%
0.5%