ArticleDisease markers2013
Detection of urinary metabolomics before and after Pringle maneuver-induced liver ischemia and reperfusion injury in rats using gas chromatography-mass spectrometry.
Article in Disease markers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Tissue-Specific Metabolic Profiles After Prolonged Cardiac Arrest Reveal Brain Metabolome Dysfunction Predominantly After Resuscitation.Journal of the American Heart Association · 2019Article
- Effect of the intermittent Pringle maneuver on liver damage after hepatectomy: a retrospective cohort study.World journal of surgical oncology · 2019Article
- Gas chromatography-time of flight/mass spectrometry-based metabonomics of changes in the urinary metabolic profile in osteoarthritic rats.Experimental and therapeutic medicine · 2018Article
- Analysis of the free fatty acid metabolome in the plasma of patients with systemic lupus erythematosus and fever.Metabolomics : Official journal of the Metabolomic Society · 2017Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolomics studies can quantitatively detect the dynamic metabolic response of living systems.
objectiveTo detect urinary metabolomics after hepatic ischemia/reperfusion (I/R) injury induced by the Pringle maneuver using gas chromatography-mass spectrometry (GC-MS).
methodsMale Sprague-Dawley rats (N = 80) were randomly divided into 4 groups (n = 20/group): sham operation, day 1, day 3, and day 5. Rats in the day 1, day 3, and day 5 groups underwent the Pringle maneuver. Serum alanine transaminase (ALT) and total bilirubin (TBIL) were measured, and hematoxylin and eosin (HE) staining of the liver tissue was performed. GC-MS was used to detect urinary metabolomics.
resultsCompared with the sham group, the serum ALT and TBIL levels at day 1 were significantly elevated (P < 0.01) and then decreased and reached close to normal levels at day 5. GC-MS detected 7 metabolites which had similar changes as those of liver tissue revealed by histological examination. Significant differences in lactic acid, pyruvic acid, alanine, serine, and glycerol-3-phosphate were found among the groups (P < 0.001). Principle component analysis showed that 7 metabolites distinguished the day 1 and day 3 groups from the sham group.
conclusionsNoninvasive urinary metabolomic analysis is a potential means for the early detection and diagnosis of hepatic I/R injury.
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