{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T22:49:58Z","timestamp":1788821398249,"version":"build-2803163510"},"reference-count":212,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T00:00:00Z","timestamp":1776556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Nazarbayev University Collaborative Research Program","award":["211123CRP1603"],"award-info":[{"award-number":["211123CRP1603"]}]},{"award":["211123CRP1603"],"award-info":[{"award-number":["211123CRP1603"]}],"id":[{"id":"https:\/\/ror.org\/052bx8q98","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Chronic kidney disease is a global public health concern, representing a critical global public health challenge with increasing morbidity and mortality rates. The disease is a long-term condition characterized by the progressive loss of renal function. Early detection of declining kidney health and timely intervention are crucial to slow disease progression and improve prognosis, mitigating complications, including cardiovascular events. Current diagnostic standards are unable to detect early stages of kidney disease, reflecting early signs of glomerular and tubular damage. This creates an urgent need to identify reliable biomarkers for early detection, prognosis and therapeutic monitoring of kidney diseases. Novel biomarkers, including urinary microRNA, exosomal components, proteomic signatures and integrated multi-omics profiles, facilitated by up-to-date technologies offer strong promise for enhancing early diagnosis, risk assessment and monitoring of the disease. We focus on the fundamental biological significance and clinical application of these markers, discussing a critical evaluation of novel methodologies and clinical evidence supporting their potential for earlier and more precise diagnosis. This review summarizes innovative urinary biomarkers and advanced analytical technologies that can provide a more comprehensive and accurate assessment of the kidney status towards early diagnosis, better prognosis and better quality of life for patients with chronic kidney disease.<\/jats:p>","DOI":"10.3390\/ijms27083648","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T08:24:23Z","timestamp":1776673463000},"page":"3648","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Emerging Urinary Biomarkers and Innovative Technologies for the Early Detection and Personalized Management of Chronic Kidney Disease"],"prefix":"10.3390","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3838-5310","authenticated-orcid":false,"given":"Saltanat","family":"Moldakhmetova","sequence":"first","affiliation":[{"name":"Department of Medicine, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bikadisha","family":"Bimurat","sequence":"additional","affiliation":[{"name":"Department of Medicine, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arailym","family":"Berdaly","sequence":"additional","affiliation":[{"name":"Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0971-227X","authenticated-orcid":false,"given":"Zhalaliddin","family":"Makhammajanov","sequence":"additional","affiliation":[{"name":"Department of Medicine, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amankeldi A.","family":"Salybekov","sequence":"additional","affiliation":[{"name":"Regenerative Medicine Division, Cell and Gene Therapy Department, Qazaq Institute of Innovative Medicine, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7060-1632","authenticated-orcid":false,"given":"Rostislav","family":"Bukasov","sequence":"additional","affiliation":[{"name":"Department of Chemistry, School of Sciences and Humanities, Nazarbayev University, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9844-8772","authenticated-orcid":false,"given":"Abduzhappar","family":"Gaipov","sequence":"additional","affiliation":[{"name":"Department of Medicine, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan"},{"name":"Division of Nephrology, Clinical-Academic Department of Internal Medicine, University Medical Center, 010000 Astana, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.62347\/DAKE5842","article-title":"Urinary exosomes as promising biomarkers for early kidney disease detection","volume":"13","author":"Liu","year":"2025","journal-title":"Am. 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