Hypoxia inducible factor network reflects kidney disease progression in diabetes and sodium-glucose co-transporters inhibition

Hypoxia drives diabetic kidney disease (DKD) progression through Hypoxia Inducible Factor (HIF) signaling. The kidney's cellular heterogeneity and complex architecture pose challenges for directly assessing the pharmacologic effects on kidney oxygenation and hypoxia-responsive pathways in vivo, such as treatment with SGLT2 inhibitors (SGLT2i), presumed to impact kidney oxygenation. Using single-cell transcriptional profiling of kidney tissue from youth with type 2 diabetes (T2D) who showed minimal clinical evidence of DKD, we identified cell type enrichment of HIF-regulated genes, findings that replicated in people with later-stage DKD in the Kidney Precision Medicine Project (KPMP). Using conserved transcription factor (TF) binding motifs, higher-order promoter regulatory structures identified potential cooperating TFs that explained the cell type enrichment pattern. From these promoter elements, 7 interconnected regulatory pathways were identified, comprising a network of 237 genes. Analysis of multiome data from reference tissue in KPMP demonstrated that 80% of the network genes resided in accessible chromatin. Expression of network genes increased significantly in the late compared to the early stage DKD and was validated in a hypoxic human organoid model system. Kidney tissue from individuals with T2D treated with SGLT2i demonstrated reversal of the accumulated changes in the HIF network compared to those not treated with SGLT2i. Most high-confidence genes showed concordant differential expression in spatial transcriptomics from individuals with T2D. Hypoxic kidney organoids treated with SGLT2i confirmed these protective effects. Our promoter-anchored HIF regulatory network provides a multi-component read-out that captures disease progression and quantifies therapeutic response to SGLT2i.

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Publication Details

Journal
Signal Transduction and Targeted Therapy
Published
2026-04-21
DOI
https://doi.org/10.1038/s41392-026-02653-0
Primary Topic
Ion Transport and Channel Regulation
Type
article
Field-Weighted Citation Impact
0.00

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article

Hypoxia inducible factor network reflects kidney disease progression in diabetes and sodium-glucose co-transporters inhibition

Frank C. Brosius, Céline C. Berthier, Peter J. Nelson, Viji Nair et al.
Signal Transduction and Targeted Therapy
Ion Transport and Channel Regulation
article

Hypoxia inducible factor network reflects kidney disease progression in diabetes and sodium-glucose co-transporters inhibition

Frank C. Brosius, Céline C. Berthier, Peter J. Nelson, Viji Nair, Lalita Subramanian, Laura Pyle, Debora L. Gisch, Petter Bjornstad, Cathy Smith, Akihiro Minakawa, Jamal El Saghir, Michael Rose, Michael T. Eadon, Sanjay R. Jain, Rajasree Menon, Jennifer L. Harder, Jeffrey B. Hodgin, Jeffrey A. Beamish, Felix Eichinger, Fadhl M. Alakwaa, Matthias Kretzler, John Hartman, Damian Fermin, Jennifer A. Schaub, Edgar A. Otto, Ye Ji Choi, Thomas J Werner
article en

Abstract

Hypoxia drives diabetic kidney disease (DKD) progression through Hypoxia Inducible Factor (HIF) signaling. The kidney's cellular heterogeneity and complex architecture pose challenges for directly assessing the pharmacologic effects on kidney oxygenation and hypoxia-responsive pathways in vivo, such as treatment with SGLT2 inhibitors (SGLT2i), presumed to impact kidney oxygenation. Using single-cell transcriptional profiling of kidney tissue from youth with type 2 diabetes (T2D) who showed minimal clinical evidence of DKD, we identified cell type enrichment of HIF-regulated genes, findings that replicated in people with later-stage DKD in the Kidney Precision Medicine Project (KPMP). Using conserved transcription factor (TF) binding motifs, higher-order promoter regulatory structures identified potential cooperating TFs that explained the cell type enrichment pattern. From these promoter elements, 7 interconnected regulatory pathways were identified, comprising a network of 237 genes. Analysis of multiome data from reference tissue in KPMP demonstrated that 80% of the network genes resided in accessible chromatin. Expression of network genes increased significantly in the late compared to the early stage DKD and was validated in a hypoxic human organoid model system. Kidney tissue from individuals with T2D treated with SGLT2i demonstrated reversal of the accumulated changes in the HIF network compared to those not treated with SGLT2i. Most high-confidence genes showed concordant differential expression in spatial transcriptomics from individuals with T2D. Hypoxic kidney organoids treated with SGLT2i confirmed these protective effects. Our promoter-anchored HIF regulatory network provides a multi-component read-out that captures disease progression and quantifies therapeutic response to SGLT2i.

Signal Transduction and Targeted TherapyVol. 11(1)
University of Miyazaki (JP), University of Arizona (US), University of Washington (US), Washington University in St. Louis (US), University of Michigan (US), Michigan Medicine (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Ludwig-Maximilians-Universität München (DE)
National Institutes of Health, Medical School, University of Michigan, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Good health and well-being
Openalex Percentile: Top 19%
Ion Transport and Channel Regulation
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