4.8 Article

Quantitative plasma proteomics identifies metallothioneins as a marker of acute-on-chronic liver failure associated acute kidney injury

期刊

FRONTIERS IN IMMUNOLOGY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.1041230

关键词

ACLF; AKI; proteomics; biomarkers; metallothionein; inflammation

向作者/读者索取更多资源

This study aimed to discover AKI biomarkers in ACLF patients, and found that plasma metallothionein can act as a predictive biomarker of AKI in ACLF.
BackgroundAcute kidney injury (AKI) considerably increases the risk of short-term mortality in acute-on-chronic liver failure (ACLF) but predicting AKI is not possible with existing tools. Our study aimed at de novo discovery of AKI biomarkers in ACLF. MethodsThis observational study had two phases- (A) Discovery phase in which quantitative proteomics was carried-out with day-of-admission plasma from ACLF patients who initially had no-AKI but either progressed to AKI (n=10) or did not (n=9) within 7 days of admission and, (B) Validation phase in which selected biomarkers from the discovery phase were validated by ELISA in a larger set of ACLF plasma samples (n=93) followed by sub-group analyses. ResultsPlasma proteomics revealed 56 differentially expressed proteins in ACLF patients who progressed to AKI vs those who did not. The metallothionein protein-family was upregulated in patients who progressed to AKI and was validated by ELISA as significantly elevated in both- (i) ACLF-AKI vs no-AKI (p-value <= 0.0001) and (ii) progression to AKI vs no-progression to AKI (p-value <= 0.001). AUROC for AKI vs no-AKI was 0.786 (p-value <= 0.001) and for progression to AKI vs no-progression to AKI was 0.7888 (p-value <= 0.001). Kaplan-Meier analysis revealed that ACLF patients with plasma MT concentration >5.83 ng/mL had a high probability of developing AKI by day 7 (p-value <= 0.0001). High expression of metallothionein genes was found in post-mortem liver biopsies of ACLF patients. ConclusionDay-of-admission measurements of plasma metallothionein can act as predictive biomarkers of AKI in ACLF.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据