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Lactylation-dependent DDX18 nucleolar escape regulates CD44 mRNA stability to drive fibrotic progression in kidney injury
Lijun Dong, Jingwen Xie, Mengyuan Tao, Shuai Liu, Yueyang Lu, Tianxing Wu, Jian Geng, Qingyun Chen, Xiaoshan Zhao, Jianbo Zhao, Jia Zhou, Honghao Hou, Jun Ai, Tao Tao, Daming Zuo
Lijun Dong, Jingwen Xie, Mengyuan Tao, Shuai Liu, Yueyang Lu, Tianxing Wu, Jian Geng, Qingyun Chen, Xiaoshan Zhao, Jianbo Zhao, Jia Zhou, Honghao Hou, Jun Ai, Tao Tao, Daming Zuo
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Research Article Cell biology Nephrology

Lactylation-dependent DDX18 nucleolar escape regulates CD44 mRNA stability to drive fibrotic progression in kidney injury

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Abstract

Following acute kidney injury (AKI), a substantial subset of patients experience an irreversible progression to chronic kidney disease (CKD), yet the molecular determinants governing this maladaptive transition remain elusive, and effective clinical interventions are lacking. Here, we identify lactate as a key metabolic determinant orchestrating the transition from AKI to CKD. Analysis of the UK Biobank cohort revealed that elevated circulating lactate independently predicts CKD development in patients with AKI and correlates with fibrotic progression. Using murine ischemia-reperfusion injury models, we demonstrated that lactate drives sustained renal damage through posttranslational lactylation of the RNA helicase DDX18. Mechanistically, p300-mediated lactylation of DDX18 at lysine 116 disrupted its nucleolar retention, causing redistribution to the nucleoplasm, where it acquired enhanced binding affinity for CD44 mRNA. This subcellular relocalization stabilized CD44 mRNA through altered RNA–protein interactions, thereby amplifying fibrotic signaling pathways. Therapeutically, we developed a kidney-targeted, cell-penetrating peptide that specifically inhibits DDX18 K116 lactylation, effectively attenuating fibrotic progression in injured kidneys. Our findings establish protein lactylation as a regulatory mechanism governing RNA helicase nucleolar localization and subsequent control of mRNA stability, revealing a potential therapeutic target for interrupting fibrotic processes in CKD.

Authors

Lijun Dong, Jingwen Xie, Mengyuan Tao, Shuai Liu, Yueyang Lu, Tianxing Wu, Jian Geng, Qingyun Chen, Xiaoshan Zhao, Jianbo Zhao, Jia Zhou, Honghao Hou, Jun Ai, Tao Tao, Daming Zuo

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Figure 4

DDX18-K116 lactylation drives the AKI-to-CKD transition in BIRI mice.

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DDX18-K116 lactylation drives the AKI-to-CKD transition in BIRI mice.
(A...
(A) Domain architecture of DDX18 highlighting putative lactylation sites. (B) MS analysis confirming lactylation at K116. The x axis represents the mass‑to‑charge ratio (m/z), corresponding to the molecular mass divided by the charge state of the peptide. The y axis represents the intensity of the fragment ion peaks. Red peaks correspond to b‑ions and blue peaks to y‑ions. For sequencing, b‑ions are counted from the N‑terminus, while y‑ions are counted from the C‑terminus. The calculation formula is b2-1-m(M) – m(OX) = m(K) + m(La). (C) DDX18 lactylation in HK-2 cells expressing DDX18WT or multiple K→R mutants of DDX18. (D) Cross-species alignment showing conserved K116 (red) across 7 species. (E) DDX18-K116 lactylation in HK-2 cells expressing DDX18WT or the DDX18K116R mutant under H/R stress. (F) DDX18-K116 lactylation in HK-2 cells treated with lactate. (G) Hypoxia treatment induced lactylation of DDX18-K116. (H) DDX18 K116 lactylation was significantly increased in primary renal TECs from BIRI mice. (I and J) Spatial distribution of DDX18-K116 lactylation in vivo. (I) Increased DDX18-K116 lactylation in renal tissues from AKI patients with proteinuria versus without proteinuria. Scale bar: 100 μm. (J) Immunofluorescence staining of DDX18-K116 lactylation in kidney sections from BIRI mice after 24 h of reperfusion. Scale bar: 100 μm. (K–N) In vitro validation using HK-2 cells expressing DDX18K116R under H/R stress. (K) Wound healing assay showing the migration capacity of DDX18WT- or DDX18K116R-expressing HK-2 cells, with wound closure (%) quantified at 0 and 48 h. Fibrotic marker expression (L) was determined by RT-qPCR analysis. The levels of fibrosis-related proteins were determined by Western blotting (M) and immunofluorescence (N). Scale bar: 20 μm. Representative data from 1 of 3 independent experiments are shown. Data in I–K were analyzed using an unpaired 2-tailed Student’s t test and in L using 2-way ANOVA. ***P < 0.001.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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