الملخص

Background: Ranked as the fifth leading global health burden in 2022, diabetes mellitus is the driver of diabetic kidney disease (DKD), a condition responsible for nearly half of end-stage kidney disease cases. Despite its significant impact, therapeutic progress in DKD is hindered by an incomplete understanding of the underlying cell-specific molecular mechanisms. Materials and Methods: Single-cell RNA sequencing data (GSE183276) from the kidney precision medicine project, including kidney samples from 20 healthy individuals and 14 DKD patients, were obtained. After quality control, batch effect correction, and cell type annotation, cell type-specific differentially expressed genes were identified. Enrichment analyses were performed using WebGestalt. Trajectory inference was conducted to characterize dynamic cellular states. Finally, DrugTar, a previously developed deep learning tool, was applied to identify the most druggable genes. Results: Among the 22 annotated cell types, collecting duct principal cells exhibited the largest number of differentially expressed genes, even after adjustment for cell abundance. This finding was also observed in an independent human kidney single-cell RNA-seq dataset (GSE211785), suggesting that this cell type experiences a profound transcriptional reprogramming in response to a diabetic milieu. Notably, trajectory analysis revealed distinct transcriptional states within principal cells, with mitochondrial metabolic processes being enriched across these subpopulations. Furthermore, a list of the most druggable genes is proposed as potential candidates for targeted delivery to principal cells. Conclusion: This study underscores the significant transcriptional reprogramming of principal cells in DKD pathogenesis, a phenomenon that has rarely received attention in previous works. These cells can be considered as candidates in strategies aimed at targeted drug delivery for DKD.

الكلمات المفتاحية

الموضوع

بيانات النشر

المعرّف الرقمي
10.4103/jrms.jrms_1331_25
المجلة
Journal of Research in Medical Sciences, 31(1)
الناشر
Wolters Kluwer Medknow Publications
وصول مفتوح
وصول مفتوح ذهبي
الترخيص
CC BY-NC-ND 4.0

اقتبس هذه المقالة

APA 7

Hamidifarid, Z., & Gheisari, Y. (2026). Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery. Journal of Research in Medical Sciences, 31(1). https://doi.org/10.4103/jrms.jrms_1331_25

MLA 9

Hamidifarid, Zahra, and Yousof Gheisari. "Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery." Journal of Research in Medical Sciences, vol. 31, no. 1, 2026. https://doi.org/10.4103/jrms.jrms_1331_25.

شيكاغو (المؤلف–التاريخ)

Hamidifarid, Zahra, and Yousof Gheisari. 2026. "Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery." Journal of Research in Medical Sciences 31 (1). https://doi.org/10.4103/jrms.jrms_1331_25.

هارفارد

Hamidifarid, Z. and Gheisari, Y. (2026) 'Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery', Journal of Research in Medical Sciences, 31(1). doi:10.4103/jrms.jrms_1331_25.

فانكوفر

Hamidifarid Z, Gheisari Y. Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery. Journal of Research in Medical Sciences. 2026;31(1). doi:10.4103/jrms.jrms_1331_25

IEEE

Z. Hamidifarid, and Y. Gheisari, "Single-cell transcriptomic profiling of human kidneys uncovers profound principal cell responses to diabetic conditions, enabling targeted drug discovery," Journal of Research in Medical Sciences, vol. 31, no. 1, 2026, doi: 10.4103/jrms.jrms_1331_25.