A comprehensive review of new potential biomarkers in the detection of chronic kidney disease

肾脏疾病 医学 生物标志物 内科学 疾病 生物信息学 梅德林 计算生物学 病理 重症监护医学 慢性病
作者
Sapna Sapna,Pankaj Kumar,Bipul Ch. Kalita,Suresh Babu Kondaveeti,Vivek Kumar Garg,Asmi,Vaishali Aggarwal
出处
期刊:Biomarkers [Taylor & Francis]
卷期号:30 (7): 503-515 被引量:1
标识
DOI:10.1080/1354750x.2025.2586589
摘要

INTRODUCTION: Chronic kidney disease (CKD) typically shows no symptoms in its initial stages. A quick diagnosis (stages 1-3) can change the course of CKD and lessen its effects. Significant kidney damage becomes apparent during stages 4 and 5, which typically leads to end-stage renal failure. Although blood urea and serum creatinine (sCr) values are mainly used to diagnose CKD, sCr has shown low predictive ability. METHODS: We searched Pubmed, google scholar, and various databases to see the role of various biomarkers in CKD. The advent of new methods will enable the discovery of new biomarkers in renal disorders due to advancements in transcriptomics, genomes, epigenetics, proteomics, and metabolomics. RESULTS: Neutrophil gelatinase-associated lipocalin (NGAL), Galectin-3, kidney injury molecule-1 (KIM-1), Interleukin 18 (IL-18), Immunoglobulin G, Liver Fatty Acid-Binding Protein (L-FABP), asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), miRNA biomarker, uromodulin, Nephrin, epidermal growth factor (EGF), proteomic and metabolomic biomarkers, as well as podocalyxin are few novel potential biomarkers for CKD detection as well as forecasting outcomes presented in this review. CONCLUSION: It appears that novel markers could replace traditional ones in future and evaluation of their effectiveness, sensitivity, specificity etc. are also necessary.
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