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A TGF-β1/LEF1/β-catenin/JLP network motif regulates autophagy and tubule injury in renal fibrosis
Chen Li, Meng Zhang, Maoqing Tian, Zeyu Tang, Yuying Hu, Yuyu Long, Xiaofei Wang, Liwen Qiao, Jiefei Zeng, Yujuan Wang, Xinghua Chen, Cheng Chen, Xiaoyan Li, Lu Zhang, Huiming Wang
Chen Li, Meng Zhang, Maoqing Tian, Zeyu Tang, Yuying Hu, Yuyu Long, Xiaofei Wang, Liwen Qiao, Jiefei Zeng, Yujuan Wang, Xinghua Chen, Cheng Chen, Xiaoyan Li, Lu Zhang, Huiming Wang
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Research Article Cell biology Nephrology

A TGF-β1/LEF1/β-catenin/JLP network motif regulates autophagy and tubule injury in renal fibrosis

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Abstract

Sustained injury to renal tubular epithelial cells (TECs), driven by excessive autophagy, is a critical mechanism underlying kidney fibrosis. Our previous work identified JLP — a TEC-expressed scaffolding protein — as an endogenous antifibrotic factor that counteracts TGF-β1–induced autophagy and fibrogenesis. However, the mechanism underlying JLP downregulation in renal fibrosis remains unclear. Here, we delineated a TGF-β1/LEF1/β-catenin/JLP axis that governs TEC autophagy through a dichotomous regulatory circuit. Under physiological conditions, low levels of β-catenin and LEF1 with minimal nuclear localization permitted normal JLP expression, which in turn maintained autophagy in check. In contrast, during renal injury, TGF-β1 promoted the expression and nuclear translocation of β-catenin and LEF1, which together suppressed JLP transcription. This loss of JLP-mediated inhibition led to unchecked autophagy and exacerbated fibrotic damage. Analyses of kidney tissues from patients with CKD, murine fibrotic kidneys, and cultured HK-2 cells confirmed consistent JLP downregulation accompanied by upregulation and nuclear accumulation of LEF1 and β-catenin. Therapeutic intervention using the β-catenin/LEF1 inhibitor iCRT3 or LEF1-targeted silencing in murine fibrosis models restored JLP expression, attenuated TEC autophagy, and ameliorated renal fibrosis. These findings revealed an autoregulatory circuit controlling TEC autophagy and fibrogenesis, and supported LEF1 and β-catenin as potential therapeutic targets in CKD.

Authors

Chen Li, Meng Zhang, Maoqing Tian, Zeyu Tang, Yuying Hu, Yuyu Long, Xiaofei Wang, Liwen Qiao, Jiefei Zeng, Yujuan Wang, Xinghua Chen, Cheng Chen, Xiaoyan Li, Lu Zhang, Huiming Wang

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Figure 2

JLP expression is inversely correlated with LEF1 level in fibrotic kidneys and TGF-β1–treated TECs.

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JLP expression is inversely correlated with LEF1 level in fibrotic kidne...
(A) LEF1 mRNA expression data were extracted from the Nephroseq database (https://www.nephroseq.org). Boxes bounds represent the interquartile range (25th to 75th percentiles), the horizontal line within each box indicates the median, whiskers extend to 1.5 × the interquartile range, and individual dots denote outliers beyond this range. B) Western blotting analysis of fibronectin, collagen I, and LEF1 protein levels (n = 6 per group). (C) Images of H&E, Masson’s trichrome, and immunohistochemical staining of kidney sections from paratumor kidney tissue of patients with renal carcinoma and from renal specimens of patients with obstructive nephropathy and CKD. Scale bars: 50 μm. (D) Correlations between LEF1 expression and tubulointerstitial fibrosis, JLP expression and tubulointerstitial fibrosis, and renal LEF1 expression and JLP expression are shown (n = 38). (E–H) Representative dual-color immunofluorescence images of mouse kidney sections stained for LEF1 (red) and cell-type-specific markers: LTL (proximal tubular cells), DBA (collecting ducts), F4/80 (macrophages), and α-SMA (pericytes and myofibroblasts). Scale bars: 50 μm. (G and H)The total original magnification for the enlarged images is ×3,000. Quantification of LEF1 fluorescence intensity in marker-positive cells and mean fluorescence intensity per marker-positive cell was performed using ImageJ (n = 6 mice per group; 5 images were analyzed per sample). Data are presented as mean ± SD. Linear regression analysis (D) and 2-tailed, unpaired Student’s t test (E–H) were used for statistical analysis.

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