ArticleAmerican journal of physiology. Renal physiology2025
Methylseq, single-nuclei RNAseq, and discovery proteomics identify pathways associated with nephron-deficit CKD in the HSRA rat model.
Article in American journal of physiology. Renal physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Systemic and proximal tubule specific knockout ofPhysiological genomics · 2026Article
- Renal proteomics of male offspring exposed to maternal protein restriction: molecular, epigenetic, and nephron-specific signatures of metabolic programming.Journal of physiology and biochemistry · 2026Article
- Pregnancy-dependent cardioprotection via GPER activation in Dahl salt-sensitive rats with superimposed preeclampsia.American journal of physiology. Heart and circulatory physiology · 2025Article
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6 authors.
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Abstract
Low nephron numbers are associated with an increased risk of developing chronic kidney disease (CKD) and hypertension, which are significant global health problems. To investigate the impact of nephron deficiency, our laboratory developed a novel inbred rat model (HSRA rat). In this model, ∼75% of offspring are born with a single kidney (HSRA-S), compared with two-kidney littermates (HSRA-C). HSRA-S rats show impaired kidney development, resulting in ∼20% fewer nephrons. Our previous data and current findings demonstrate that nephron deficit (failure of one kidney to form and altered development in the remaining kidney) predisposes HSRA-S to CKD late in life (with increased proteinuria by 18 mo of age in HSRA-S = 51 ± 3.4 vs. HSRA-C = 8 ± 1.5 mg/24 h). To understand early molecular mechanisms contributing to the increased predisposition to CKD, Methylseq using reduced representation bisulfite sequencing, single-nuclei (sn)RNAseq, and discovery proteomics were performed in kidneys of 4-wk-old HSRA rats. Methylation analysis revealed a small number of differences, including five differentially methylated cytosines and six differentially methylated regions between groups. The snRNAseq analysis identified differentially expressed genes in most kidney cell types, with several hundred genes dysregulated depending on the analysis method (Seurat vs. DESeq2). Notably, many genes are involved in kidney development. Discovery proteomic analysis identified 366 differentially expressed proteins. A key finding was dysregulation of
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