Frontiers in Immunology (Jan 2023)

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

  • Pragyan Acharya,
  • Rohini Saha,
  • Javed Ahsan Quadri,
  • Saba Sarwar,
  • Maroof Ahmad Khan,
  • Hem Chandra Sati,
  • Nidhi Gauniyal,
  • Ahmadullah Shariff,
  • Shekhar Swaroop,
  • Piyush Pathak,
  • Shalimar

DOI
https://doi.org/10.3389/fimmu.2022.1041230
Journal volume & issue
Vol. 13

Abstract

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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.

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