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  • Short Communication   
  • Arch Sci 7: 164,
  • DOI: 10.4172/science.1000164

Analyzing the Proteomic Patterns of Hypertensive Nephropathy: Insights from Archival Core Human Kidney Biopsies

Kenji Takahashi*
Department of Physiology, School of Medicine, Keio University, Shinanomachi, Tokyo, Japan
*Corresponding Author : Kenji Takahashi, Department of Physiology, School of Medicine, Keio University, Shinanomachi, Tokyo, Japan, Email: Takahashi556@gmail.com

Received Date: Jul 03, 2023 / Published Date: Jul 31, 2023

Abstract

Hypertensive nephropathy is a common cause of chronic kidney disease and end-stage renal disease worldwide.However, the molecular mechanisms underlying this condition remain poorly understood. Proteomic analysis hasemerged as a powerful tool to investigate complex protein networks in various diseases, including renal disorders.Archival core human kidney biopsies, obtained from patients with a documented history of hypertension and renalimpairment, offer a unique opportunity to study the proteomic patterns associated with hypertensive nephropathy.By employing advanced proteomic techniques, researchers can analyze the proteome of these biopsies and identify differentially expressed proteins and pathways related to the disease. This article provides insights into the potential of proteomic analysis in hypertensive nephropathy, including the identification of biomarkers for early diagnosis andmonitoring, and the elucidation of molecular pathways involved in disease progression. Despite challenges associatedwith limited sample availability and protein degradation over time, advancements in proteomic technologies andbioinformatics tools hold great promise for further understanding and managing hypertensive nephropathy.

Citation: Takahashi K (2023) Analyzing the Proteomic Patterns of HypertensiveNephropathy: Insights from Archival Core Human Kidney Biopsies. Arch Sci 7: 164. Doi: 10.4172/science.1000164

Copyright: © 2023 Takahashi K. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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