Abstract
Chronic kidney disease (CKD) is a serious health burden affecting approximately 16% of the world population. Chronic kidney disease is associated with gradual loss of kidney function and ultimately kidney failure. In CKD, there occurs loss of the ability to release waste electrolytes, whose buildup may hamper normal metabolism. The glomerular filtration rate and serum creatinine are main diagnostic measures in this condition. However, there is an intrinsic problem of poor diagnosis during early stages. This problem can be resolved by the use of proteomics analysis, which provides a complete profile of different proteins under a specific condition. There are various factors which influence occurrence of chronic kidney disease. Increased release of inflammatory cytokines from the adipose and kidney tissues may be responsible for renal injury. The perturbations of the protein biomarkers may occur decades prior to clinical identification. Proteomic analysis involving mass spectrometry coupled with chromatography can provide better resolution to understand the changes of biomarkers of CKD. Next-generation advancements in proteome analysis can facilitate better diagnosis, analysis, and treatment of chronic kidney disease. In this article, the recent advances in proteomic approaches are discussed, which can influence the diagnosis, etiology, and treatment of chronic kidney disease.
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Acknowledgments
RS acknowledges the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India, New Delhi, India, for fellowship and grant INSPIRE Faculty (IFA16LSBM184). RS and CT acknowledge Amity University for support during the work.
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Srivastav, R., Tandon, C. (2022). Advances in Proteomics Approaches and Chronic Kidney Disease. In: Sobti, R., Sobti, A. (eds) Biomedical Translational Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-4345-3_14
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