Novel biomarkers for post-contrast acute kidney injury identified from long non-coding RNA expression profiles.
Novel biomarkers for post-contrast acute kidney injury identified from long non-coding RNA expression profiles.
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从长非编码 RNA 表达谱中鉴定出对比后急性肾损伤的新型生物标志物
DOI:
10.7150/ijbs.45294
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发表时间:
2021
影响因子:
9.2
通讯作者:
Liu Y
中科院分区:
文献类型:
--
作者:
Chen G;Liu B;Chen S;Li H;Liu J;Mai Z;Chen E;Zhou C;Sun G;Guo Z;Lei L;Huang S;Zhang L;Li M;Tan N;Li H;Liao Y;Liu J;Chen J;Liu Y
Background: Post-contrast acute kidney injury (PC-AKI) is a severe complication of cardiac catheterization. Emerging evidence indicated that long non-coding RNAs (lncRNAs) could serve as biomarkers for various diseases. However, the lncRNA expression profile and potential biomarkers in PC-AKI remain unclear. This study aimed to investigate novel lncRNA biomarkers for the early detection of PC-AKI. Methods: lncRNA profile in the kidney tissues of PC-AKI rats was evaluated through RNA sequencing. Potential lncRNA biomarkers were identified through human-rat homology analysis, kidney and blood filtering in rats and verified in 112 clinical samples. The expression patterns of the candidate lncRNAs were detected in HK-2 cells and rat models to evaluate their potential for early detection. Results: In total, 357 lncRNAs were found to be differentially expressed in PC-AKI. We identified lnc-HILPDA and lnc-PRND were conservative and remarkably upregulated in both kidneys and blood from rats and the blood of PC-AKI patients; these lncRNAs can precisely distinguish PC-AKI patients (area under the curve (AUC) values of 0.885 and 0.875, respectively). The combination of these two lncRNAs exhibited improved accuracy for predicting PC-AKI, with 100% sensitivity and 83.93% specificity. Time-course experiments showed that the significant difference was first noted in the blood of PC-AKI rats at 12 h for lnc-HILPDA and 24 h for lnc-PRND. Conclusion: Our study revealed that lnc-HILPDA and lnc-PRND may serve as the novel biomarkers for early detection and profoundly affect the clinical stratification and strategy guidance of PC-AKI.
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DOI:
10.1038/nrm.2017.104
发表时间:
2018-03
期刊:
Nature reviews. Molecular cell biology
影响因子:
--
作者:
Ransohoff JD;Wei Y;Khavari PA
通讯作者:
Khavari PA
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
19.7
作者:
McDonald, Jennifer S.;McDonald, Robert J.;Williamson, Eric E.
通讯作者:
Williamson, Eric E.
影响因子:
4.5
作者:
Christiansen, C
通讯作者:
Christiansen, C
影响因子:
2.9
作者:
Edelstein, Charles L.
通讯作者:
Edelstein, Charles L.