Evidence map›Paper›PMID 38805402›Full record

ArticleJCI insight2024

Urinary cytokeratin 20 as a predictor for chronic kidney disease following acute kidney injury.

Rui Ma, Han Ouyang, Shihong Meng, Jun Liu, Jianwei Tian, Nan Jia, Youhua Liu, Xin Xu, Xiaobing Yang, Fan Fan Hou

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In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rui Ma
Han Ouyang
Shihong Meng
Jun Liu
Jianwei Tian
Nan Jia
Youhua Liu
Xin Xu
Xiaobing Yang
Fan Fan Hou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDIdentifying patients with acute kidney injury (AKI) at high risk of chronic kidney disease (CKD) progression remains a challenge.METHODSKidney transcriptome sequencing was applied to identify the top upregulated genes in mice with AKI. The product of the top-ranking gene was identified in tubular cells and urine in mouse and human AKI. Two cohorts of patients with prehospitalization estimated glomerular filtration rate (eGFR) ≥ 45 mL/min/1.73 m2 who survived over 90 days after AKI were used to derive and validate the predictive models. AKI-CKD progression was defined as eGFR < 60 mL/min/1.73 m2 and with minimum 25% reduction from baseline 90 days after AKI in patients with prehospitalization eGFR ≥ 60 mL/min/1.73 m2. AKI-advanced CKD was defined as eGFR < 30 mL/min/1.73 m2 90 days after AKI in those with prehospitalization eGFR 45-59 mL/min/1.73 m2.RESULTSKidney cytokeratin 20 (CK20) was upregulated in injured proximal tubular cells and detectable in urine within 7 days after AKI. High concentrations of urinary CK20 (uCK20) were independently associated with the severity of histological AKI and the risk of AKI-CKD progression. In the Test set, the AUC of uCK20 for predicting AKI-CKD was 0.80, outperforming reported biomarkers for predicting AKI. Adding uCK20 to clinical variables improved the ability to predict AKI-CKD progression, with an AUC of 0.90, and improved the risk reclassification.CONCLUSIONThese findings highlight uCK20 as a useful predictor for AKI-CKD progression and may provide a tool to identify patients at high risk of CKD following AKI.FUNDINGNational Natural Science Foundation of China, National Key R&D Program of China, 111 Plan, Guangdong Key R&D Program.

Indexed as

Acute Kidney InjuryGlomerular Filtration RateRenal Insufficiency, ChronicAgedAnimalsBiomarkersDisease Models, AnimalDisease ProgressionFemaleHumansMaleMiceMiddle AgedBiomarkersChronic kidney diseaseCytoskeletonNephrology

Identifiers

PMID38805402
PMCPMC11383368

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.