ReviewJournal of clinical medicine2023
Metabolomics in Acute Kidney Injury: The Clinical Perspective.
Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- Advancements in early biomarkers of acute kidney injury: from traditional indicators to a paradigm shift in lactate metabolism.Annals of medicine · 2026Review
- Association between HALP score and in-hospital outcomes in patients with acute kidney injury: a retrospective cohort study.Scientific reports · 2026Article
- Urinary Metabolomics Predict Acute Kidney Injury in Very-Low-Birth-Weight Infants with Patent Ductus Arteriosus.Biomolecules · 2026Article
- Mitochondrial Dysfunction in Acute Kidney Injury: Intersections Between Chemotherapy and Novel Cancer Immunotherapies.Biomolecules · 2026Review
- Integrative multi-omics analysis identifies microbial dysbiosis and functional metabolic reprogramming in acute kidney injury.Frontiers in medicine · 2026Article
- Early Diagnosis of Acute Kidney Injury in Liver Transplant Patients by an Untargeted Metabolomic Approach.Analytical science advances · 2025Article
- Metabolomics in spondylarthritis.BMC rheumatology · 2025Article
- High-mobility group box 1 in acute kidney injury.Frontiers in pharmacology · 2025Review
- Weaning from Kidney Replacement Therapy in the Critically Ill Patient with Acute Kidney Injury.Journal of clinical medicine · 2024Review
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Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) affects increasing numbers of hospitalized patients worldwide. The diagnosis of AKI is made too late in most individuals since it is still based on dynamic changes in serum creatinine. In recent years, new AKI biomarkers have been identified; however, none of these can reliably replace serum creatinine yet. Metabolomic profiling (metabolomics) allows the concomitant detection and quantification of large numbers of metabolites from biological specimens. The current article aims to summarize clinical studies on metabolomics in AKI diagnosis and risk prediction.
methodsThe following databases were searched for references: PubMed, Web of Science, Cochrane Library, and Scopus, and the period lasted from 1940 until 2022. The following terms were utilized: 'AKI' OR 'Acute Kidney Injury' OR 'Acute Renal Failure' AND 'metabolomics' OR 'metabolic profiling' OR 'omics' AND 'risk' OR 'death' OR 'survival' OR 'dialysis' OR 'KRT' OR 'kidney replacement therapy' OR 'RRT' OR 'renal replacement therapy' OR 'recovery of kidney function' OR 'renal recovery' OR 'kidney recovery' OR 'outcome'. Studies on AKI risk prediction were only selected if metabolomic profiling allowed differentiation between subjects that fulfilled a risk category (death or KRT or recovery of kidney function) and those who did not. Experimental (animal-based) studies were not included.
resultsIn total, eight studies were identified. Six studies were related to the diagnosis of AKI; two studies were performed on metabolic analysis in AKI risk (death) prediction. Metabolomics studies in AKI already helped to identify new biomarkers for AKI diagnosis. The data on metabolomics for AKI risk prediction (death, KRT, recovery of kidney function), however, are very limited.
conclusionsBoth the heterogenous etiology and the high degree of pathogenetic complexity of AKI most likely require integrated approaches such as metabolomics and/or additional types of '-omics' studies to improve clinical outcomes in AKI.
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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.