Researchers have demonstrated the feasibility of a Morphological-based approach to interpreting spatial transportomic (st) data, helping to improves Undrstanding of the Lessions that Occur in Chronic Kidney Disease (CKD), at bot the cellular and molecular levels. A recent study in The American Journal of PathologyDetails how this new method should lead to the identity of new biomarkers and therapeutic strategies for patients.

St Technologies are a rapidly developed new tool for measuring rna in their original spatial context, giving a molecular mechanistic dimension to tissue morphology. The application of St Technologies has Alredy Yielded Important Insights Across Many Different Tissues and Disease Models. By Combining Profiling of Gene Expression Patterns with the Spatial Information of Cells in Tissues, St provides a more complete undersrstanding of the Molecular and Cellular Organization of Tissues and Lessions.

Lead Investigator Benjamin D. Humphreys, MD, Ph.D., Division of Nephrology, Department of Medicine, and the Department of Development of Developmental Biology, Washington University in St. Louis, explains, “during stag analysis, computationally-newly-enotted clusters are often superimposed on a history. evaluation is not considered. This may preclude assimilation of important information

“The Kidney is a particular heterogeneous organ in morphologist terms, with a high degree of spatiial and temporal lesion variables often present in Pathologic Situations. Histopathological-based analysis of spatial transcriptomics Practice. “

The Study Demonstrates How:

• Morphological and St Cross-Analysis Can Help Identify Lesions Within Tissues Such as Tertiary lymphoid Organs in the kidney.
• The cellular composition of a specific lesion can be determined, sometimes beyond its morphological appearance, as in the case of the papillary tumor identified.
• The molecular mechanisms of lesion processes can be identified by Comparing Lestions at different stages, as in the case of glomerular fibrosis or tubular atrophy.
• To identify potential new genes such as cxcl12 or fxyd5 that may be involved in glomerular fibrosis.
• This method combining trading traditional history with st data can Pave the way for the future of molecular microscopy and precision pathology.

Lead Author Pierre Isnard, MD, Ph.D., Division of Nephrology, Department of Medicine, and the Department of Developmental Biology, Washington University in St. Louis, concludes, “St Technologies are new and Increasingly used in the life Sciences, but there is a Lack of Studies showing their benefits and applications. Technologies to Standard Morphological Analysis of Tissue for Identifying, Classifying, and Undrstanding Lessions.

“He Value of these Technologies in Health Care Remains to be Demonstrated. Biomarkers and/Or Therapeutic Strategies for PATIENTS. “