Advances in Omics Technologies for Precision Medicine in Kidney Diseases

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 520

Special Issue Editor


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Guest Editor
Department of Internal Medicine, Nephrology Division, Ghent University Hospital, 9000 Ghent, Belgium
Interests: biochemistry; biomarkers; hypertension; cardiovascular disease; kidney disease
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Special Issue Information

Dear Colleagues,

Recent advances in omics technologies, such as genomics, proteomics, metabolomics, and transcriptomics, have significantly enhanced our understanding of kidney diseases at a molecular level. These high-throughput techniques provide a comprehensive view of the biological processes involved in kidney pathophysiology, facilitating the identification of novel biomarkers and therapeutic targets. In precision medicine, omics approaches offer personalized insights into disease mechanisms, enabling tailored treatments that improve patient outcomes. This Special Issue aims to highlight cutting-edge research and emerging technologies in the field of omics and their application to precision medicine for kidney diseases. We welcome contributions that explore innovative methodologies, data integration strategies, and the translation of omics findings into clinical practice, ultimately advancing our ability to diagnose, monitor, and treat kidney disorders with a precision medicine approach.

Prof. Dr. Marijn Speeckaert
Guest Editor

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Keywords

  • precision medicine
  • omics technologies
  • kidney diseases
  • genomics
  • proteomics
  • metabolomics
  • transcriptomics
  • biomarkers
  • molecular pathophysiology
  • data integration

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Published Papers (1 paper)

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Review

19 pages, 329 KiB  
Review
Decoding Kidney Pathophysiology: Omics-Driven Approaches in Precision Medicine
by Charlotte Delrue and Marijn M. Speeckaert
J. Pers. Med. 2024, 14(12), 1157; https://doi.org/10.3390/jpm14121157 - 19 Dec 2024
Viewed by 154
Abstract
Chronic kidney disease (CKD) is a major worldwide health concern because of its progressive nature and complex biology. Traditional diagnostic and therapeutic approaches usually fail to account for disease heterogeneity, resulting in low efficacy. Precision medicine offers a novel approach to studying kidney [...] Read more.
Chronic kidney disease (CKD) is a major worldwide health concern because of its progressive nature and complex biology. Traditional diagnostic and therapeutic approaches usually fail to account for disease heterogeneity, resulting in low efficacy. Precision medicine offers a novel approach to studying kidney disease by combining omics technologies such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics. By identifying discrete disease subtypes, molecular biomarkers, and therapeutic targets, these technologies pave the way for personalized treatment approaches. Multi-omics integration has enhanced our understanding of CKD by revealing intricate molecular linkages and pathways that contribute to treatment resistance and disease progression. While pharmacogenomics offers insights into expected responses to personalized treatments, single-cell and spatial transcriptomics can be utilized to investigate biological heterogeneity. Despite significant development, challenges persist, including data integration concerns, high costs, and ethical quandaries. Standardized data protocols, collaborative data-sharing frameworks, and advanced computational tools such as machine learning and causal inference models are required to address these challenges. With the advancement of omics technology, nephrology may benefit from improved diagnostic accuracy, risk assessment, and personalized care. By overcoming these barriers, precision medicine has the potential to develop novel techniques for improving patient outcomes in kidney disease treatment. Full article
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