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Omics · study · 2026

Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq]

Listed in NCBI GEO

Hypertensive nephropathy (HN) is a leading cause of chronic kidney disease (CKD), but molecular mechanisms underlying disease progression remain poorly understood.

Description

We aimed to identify transcriptomic signatures associated with disease progression and to localize these signatures within renal architectures. Patients with biopsy-proven HN were selected from the Norwegian Kidney Biopsy Registry and stratified after ≥5 years of follow-up into early stable (ES), early progressor (EP), late stable (LS) and late progressor (LP) based on baseline kidney function and annual eGFR decline.

Bulk transcriptomic profiling was performed in a discovery cohort and validated in an independent cohort using nCounter profiling. Spatial transcriptomics was applied to map progression-associated signatures to nephron compartments. Bulk RNA sequencing identified 415 differentially expressed genes (DEGs) between ES and EP, and 692 between LS and LP samples.

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ES was enriched in circadian rhythm pathways, with reduced NR1D1 and NR1D2 expression in EP. LP was associated with metabolic reprogramming including glutathione, retinol and amino acid metabolism. Random forest modelling identified NR1D1 gene expression as a key classifier, validated in an independent cohort.

Spatial transcriptomics revealed nephron segment-specific expression patterns, including a proximal tubule cluster enriched in ferroptosis in LP. Comparative nephron-segment analyses across groups revealed progression-associated biomarkers, including CHGA, CCN2 and SFRP2 in glomeruli, and APOE in proximal tubules. HN progression appears to involve stage-specific and compartmentalized molecular programs.

Integration of bulk and spatial transcriptomics identifies candidate biomarkers and pathways, potentially supporting innovative prognostic stratification and therapeutic strategies.

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From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE33945613 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title