Unknown

Dataset Information

Innovative Fatty Acid-Guided Biosensor Design for Neutrophil Gelatinase, a Prognostic and Diagnostic Biomarker for Chronic Kidney Disease.


ABSTRACT: Chronic kidney disease (CKD) afflicts 850 million people worldwide, with an estimate that it is the 5th highest cause of years of life lost (YLLs). Standard confirmatory procedures for disease are blood and urine analysis with ultrasound for confirmation. Neutrophil gelatinase-associated lipocalin (NGAL) has been established as a prognostic biomarker, especially for the pre-clinical stages of CKD, thus presenting itself as a dependable predictor of the progression. With the aim of designing diagnostics, fatty acids were explored as potential biorecognition elements for the selective capture of NGAL. Three fatty acids-linoleic acid, arachidonic acid, and retinoic acid-were shortlisted as plausible candidates based on their known affinity toward lipocalin family proteins. Docking followed by

SUBMITTER: Jumle K 

PROVIDER: S-EPMC12938534 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature