PROTEOMIC ANALYSIS OF URINARY PROTEIN MARKERS FOR PREDICTING DIABETIC KIDNEY DISEASE

dc.contributor.authorOmonov Akmal Abdisalimovich
dc.contributor.authorPardabayeva S. Z.
dc.contributor.authorMamasoatov O. Sh.
dc.contributor.authorUzoqboyeva R. Q.
dc.contributor.authorSayfullayeva O. B.
dc.contributor.authorSoataliyeva R. Sh.
dc.date.accessioned2026-01-16T20:30:55Z
dc.date.issued2026-01-16
dc.description.abstractDiabetic kidney disease (DKD) is a common microvascular complication, affecting 20–40% of individuals diagnosed with type 2 diabetes, leading to high morbidity and mortality rates. DKD is diagnosed based on persistent proteinuria, an albumin-to-creatinine ratio exceeding 30 mg/g creatinine, decreased estimated glomerular filtration rate (eGFR), and progressive decline in renal function. Identifying biomarkers of renal functional damage that can predict kidney disease at early stages and monitor disease progression remains a pressing issue.
dc.formatapplication/pdf
dc.identifier.urihttps://usajournals.org/index.php/1/article/view/1825
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/111184
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/1/article/view/1825/1914
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Medical and Health Sciences; Vol. 2 No. 1 (2026); 137-145
dc.source3067-803X
dc.subjectSerum zinc-alpha-2-glycoprotein (ZAG), diabetic nephropathy (DN), albumin, urinary ZAG, mg/g creatinine, eGFR.
dc.titlePROTEOMIC ANALYSIS OF URINARY PROTEIN MARKERS FOR PREDICTING DIABETIC KIDNEY DISEASE
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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