Dr. Rudiyant Gunawan Profile

Dr. Rudiyant Gunawan

at Univ. at Buffalo

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Proceedings Article | 4 April 2022 Presentation + Paper

Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease

Darshana Govind, Saber Meamardoost, Rabi Yacoub, Rudiyanto Gunawan, John Tomaszewski, Pinaki Sarder

Proceedings Volume 12039, 120390Q (2022) https://doi.org/10.1117/12.2614495

KEYWORDS: Injuries, Kidney, Picosecond phenomena, Biological research, Pathophysiology, Tissues, Image analysis, Data modeling, Quantitative analysis, Proteins

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Podocyte injury plays a crucial role in the progression of diabetic kidney disease (DKD). Injured podocytes demonstrate variations in nuclear shape and chromatin distribution. These morphometric changes have not yet been quantified in podocytes. Furthermore, the molecular mechanisms underlying these variations are poorly understood. Recent advances in omics have shed new lights into the biological mechanisms behind podocyte injury. However, there currently exists no study analyzing the biological mechanisms underlying podocyte morphometric variations during DKD. First, to study the importance of nuclear morphometrics, we performed morphometric quantification of podocyte nuclei from whole slide images of renal tissue sections obtained from murine models of DKD. Our results indicated that podocyte nuclear textural features demonstrate statistically significant difference in diabetic podocytes when compared to control. Additionally, the morphometric features demonstrated the existence of multiple subpopulations of podocytes suggesting a potential cause for their varying response to injury. Second, to study the underlying pathophysiology, we employed single cell RNA sequencing data from the murine models. Our results again indicated five subpopulations of podocytes in control and diabetic mouse models, validating the morphometrics-based results. Additionally, gene set enrichment analysis revealed epithelial to mesenchymal transition and apoptotic pathways in a subgroup of podocytes exclusive to diabetic mice, suggesting the molecular mechanism behind injury. Lastly, our results highlighted two distinct lineages of podocytes in control and diabetic cases suggesting a phenotypical change in podocytes during DKD. These results suggest that textural variations in podocyte nuclei may be key to understanding the pathophysiology behind podocyte injury.

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