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The secreted micropeptide C4orf48 enhances renal fibrosis via an RNA-binding mechanism
Jiayi Yang, … , David J. Nikolic-Paterson, Xueqing Yu
Jiayi Yang, … , David J. Nikolic-Paterson, Xueqing Yu
Published April 16, 2024
Citation Information: J Clin Invest. 2024;134(10):e178392. https://doi.org/10.1172/JCI178392.
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Research Article Nephrology

The secreted micropeptide C4orf48 enhances renal fibrosis via an RNA-binding mechanism

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Abstract

Renal interstitial fibrosis is an important mechanism in the progression of chronic kidney disease (CKD) to end-stage kidney disease. However, we lack specific treatments to slow or halt renal fibrosis. Ribosome profiling identified upregulation of a secreted micropeptide, C4orf48 (Cf48), in mouse diabetic nephropathy. Cf48 RNA and protein levels were upregulated in tubular epithelial cells in human and experimental CKD. Serum Cf48 levels were increased in human CKD and correlated with loss of kidney function, increasing CKD stage, and the degree of active interstitial fibrosis. Cf48 overexpression in mice accelerated renal fibrosis, while Cf48 gene deletion or knockdown by antisense oligonucleotides significantly reduced renal fibrosis in CKD models. In vitro, recombinant Cf48 (rCf48) enhanced TGF-β1–induced fibrotic responses in renal fibroblasts and epithelial cells independently of Smad3 phosphorylation. Cellular uptake of Cf48 and its profibrotic response in fibroblasts operated via the transferrin receptor. RNA immunoprecipitation–sequencing identified Cf48 binding to mRNA of genes involved in the fibrotic response, including Serpine1, Acta2, Ccn2, and Col4a1. rCf48 binds to the 3′UTR of Serpine1 and increases mRNA half-life. We identify the secreted Cf48 micropeptide as a potential enhancer of renal fibrosis that operates as an RNA-binding peptide to promote the production of extracellular matrix.

Authors

Jiayi Yang, Hongjie Zhuang, Jinhua Li, Ana B. Nunez-Nescolarde, Ning Luo, Huiting Chen, Andy Li, Xinli Qu, Qing Wang, Jinjin Fan, Xiaoyan Bai, Zhiming Ye, Bing Gu, Yue Meng, Xingyuan Zhang, Di Wu, Youyang Sia, Xiaoyun Jiang, Wei Chen, Alexander N. Combes, David J. Nikolic-Paterson, Xueqing Yu

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