Evidence map›Paper›PMID 40620801›Full record

ArticleAnalytical science advances2025

Early Diagnosis of Acute Kidney Injury in Liver Transplant Patients by an Untargeted Metabolomic Approach.

Larissa C Motta, Camila M de Almeida, Gabriely S Folli, Marcos V V Lyrio, Bruno M M Siqueira, José Brango-Vanegas, Rosiane A Costa, Octávio L Franco, Ana Paula C Figueiredo, Vandack A Nobre Junior and 4 more

Abstract read
In one paragraph

Article in Analytical science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Larissa C MottaMultiuser Laboratory of Petroleomics and Forensics, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
Camila M de AlmeidaMultiuser Laboratory of Petroleomics and Forensics, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
Gabriely S FolliChemometrics Laboratory, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
Marcos V V LyrioMultiuser Laboratory of Petroleomics and Forensics, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
Bruno M M SiqueiraMultiuser Laboratory of Petroleomics and Forensics, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
José Brango-VanegasCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology Catholic University of Brasília Brasília Brazil.
Rosiane A CostaCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology Catholic University of Brasília Brasília Brazil.
Octávio L FrancoCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology Catholic University of Brasília Brasília Brazil.
Ana Paula C FigueiredoHospital das Clínicas Federal University of Minas Gerais Belo Horizonte/MG Brazil.
Vandack A Nobre JuniorHospital das Clínicas Federal University of Minas Gerais Belo Horizonte/MG Brazil.
Paulo R FilgueirasChemometrics Laboratory, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.
Valério G BaraunaDepartment of Physiological Sciences Federal University of Espírito Santo Vitória Brazil.
Paula F VassalloHospital das Clínicas Federal University of Minas Gerais Belo Horizonte/MG Brazil.
Wanderson RomãoMultiuser Laboratory of Petroleomics and Forensics, Center of Competence in Petroleum Chemistry - NCQP Federal University of Espírito Santo Vitória Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury is a common complication in patients undergoing orthotopic liver transplantation, being associated with increased mortality and prolonged hospitalization. This study aimed to develop a novel analytical strategy for the early diagnosis of acute kidney injury in liver transplant recipients by combining an untargeted metabolomic approach with advanced chemometric techniques. Using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry coupled with partial least squares discriminant analysis, we successfully classified patient samples according to the severity of renal dysfunction. This integration of high-resolution mass spectrometry with multivariate analysis offers a minimally invasive, cost-effective and precise diagnostic method, requiring only a single serum sample per analysis. The study analysed 132 serum samples from 59 patients at three postoperative time points (0-6 h, 24 h and 48 h). The mass spectra revealed distinct metabolic profiles across different stages of acute kidney injury, highlighting biochemical shifts related to oxidative stress, inflammation and impaired renal function. The discriminant models demonstrated high sensitivity (80%-98%) and specificity (80%-97%), especially in distinguishing advanced stages of kidney injury, where metabolic alterations were most evident. These results support the use of this analytical workflow as a promising tool for early detection and monitoring of acute kidney injury, representing a significant advance in the application of untargeted metabolomics to clinical diagnostics. This work lays the foundation for future clinical translation of metabolomics-based diagnostics in liver transplantation, enabling more effective and timely therapeutic interventions.

Indexed as

chemometricsdiagnostic toolliver transplantmass spectrometrymetabolomics

Identifiers

PMID40620801
PMCPMC12227125

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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.