Evidence map›Paper›PMID 36776389›Full record

Observational studyFrontiers in immunology2022

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 and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pragyan AcharyaDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Rohini SahaDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Javed Ahsan QuadriDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, India.
Saba SarwarDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, India.
Maroof Ahmad KhanDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Hem Chandra SatiDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Nidhi GauniyalDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Ahmadullah ShariffDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, India.
Shekhar SwaroopDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.
Piyush PathakDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.
ShalimarDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute 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 Methods: This 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. Results: Plasma 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. Conclusion: Day-of-admission measurements of plasma metallothionein can act as predictive biomarkers of AKI in ACLF.

Indexed as

Acute Kidney InjuryAcute-On-Chronic Liver FailureBiomarkersHumansKaplan-Meier EstimateProteomicsBiomarkersACLFAKIbiomarkersinflammationmetallothioneinproteomics

Identifiers

PMID36776389
PMCPMC9909472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.