Dataset Information

Urinary proteomics investigations into contrast-induced acute kidney injury

ABSTRACT: The incidence of CI-AKI varies from 5% to 20% among hospitalized patients. However, research on the pathophysiological mechanism and biomarkers of CI-AKI has not been deep so far, especially research with LC-MS/MS methods. MS has brought proteomics research into the modern era and continues to be the best choice for accurate medicine. Thus, we identified the urine proteins of CI-AKI patients with LC-MS/MS methods and compared the differences in urine protein expression between CI-AKI patients and non-CI-AKI patients with bioinformatics analysis. Several DEPs were identified in CI-AKI patients, some of which are related to kidney diseases, including annexin A2 (ANXA2), growth differentiation factor 15 (GDF15) and retinol-binding protein 4 (RBP4). We think that they are likely to be biomarkers of CI-AKI. Among the DEPs, we found that the number and degree of proteins expressed in tubules were more significant than those in glomeruli, which indicated that tubule injury may play a more important role in CI-AKI. Through bioinformatics analysis, we found that the immune response and inflammation were involved in CI-AKI, which indicated that the immune system and inflammatory response may participate in CI-AKI progression. Our study revealed some proteins that are likely to be biomarkers and provided a further understanding of CI-AKI.

ORGANISM(S): Homo Sapiens

SUBMITTER: Shuai Han

PROVIDER: PXD024271 | iProX | Sun Feb 21 00:00:00 GMT 2021

REPOSITORIES: iProX

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Urinary proteomics investigations into contrast-induced acute kidney injury.

Zhu Hong H Chu Wenwen W Han Shuai S Gao Bihu B Wang Xin X

PloS one 20211020 10

Some patients have a decline in renal function after contrast medium injection, and this phenomenon is called contrast-induced acute kidney injury (CI-AKI); a small number of people even suffer severe renal failure. To date, the mechanism of CI-AKI remains unclear. We aimed to identify novel potential biomarkers in the urine of patients with CI-AKI through LC-MS/MS and bioinformatics analysis. We enrolled patients who underwent coronary angiography (contrast agent: iohexol). The CI-AKI group inc ...[more]

PMID: 34669736

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Project description:Objectives: Secretion of extracellular vesicles (EV) and associated micro-RNAs (miR) is altered during cellular stress and may serve as biomarkers of organ injury. We hypothesized that measuring changes in urinary levels of EV and miR will predict the onset of acute kidney injury in cardiac surgery patients. Design: Predictive accuracy biomarker study performed in the cohort of the REVAKI-2 trial Setting: Single center ICU between September 2015 and September 2018 Interventions: Intravenous sildenafil citrate 12.5 mg kg-1 over 150 min or dextrose 5% at the commencement of surgery. Measurements and main results: Urine samples were collected before and 24 hours after the procedure from 93 cardiac surgery patients. Urine EV concentrations and size distribution were assessed using NanoSight. EV derivation and levels were measured using flow cytometry. Samples from 10 selected patients were sequenced to detect differentially expressed miR. Verification was performed with advanced TaqMan assays in samples from all patients. Urine EV concentrations significantly increased in patients with AKI after surgery, with the percentage of EV positive for aquaporin-2 and β1-integrin also increasing. Pre surgery podocalyxin-positive EV were significantly lower, and β1-integrin EV werehigher in patients with AKI. The levels of the former correlated with the severity of theinjury. miR-125a-5p was expressed at higher levels in urine from patients with AKI stage 2/3. Levels of miR-10a-5p decreased after surgery in AKI patients; its levels correlated with the severity of the injury. Preoperative levels of podocalyxin EVs and miR-125a-5p had moderate AKI predictive value and, in a logistic model together with ICU lactate levels, offered good (AUC = 80.9%) AKI prediction. Conclusions: Lower levels of podocalyxin-positive EV at baseline predict the severity of post-surgery AKI. Urine EV concentrations and miR expression offer excellent predictive accuracy when combined with commonly measured biomarkers.

Dataset Information

Urinary proteomics investigations into contrast-induced acute kidney injury

Publications

Urinary proteomics investigations into contrast-induced acute kidney injury.

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