ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026
[Characteristics of urinary organic acid metabolic profile and screening of key metabolic markers in patients with urolithiasis].
Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo systematically compare the differences in urinary organic acid metabolic profiles between patients with urinary calculi and non-calculi individuals, to screen disease-specific characteristic metabolic biomarkers and key signaling pathways, and to elucidate the potential mechanism underlying the occurrence and progression of urinary calculi at the metabolic level, so as to provide a theoretical basis for basic research and screening of intervention targets for urinary calculi.
methodsA total of 99 patients with urinary calculi and 57 non-calculi subjects were enrolled. Twenty-four-hour urine samples were collected and subjected to untargeted urinary organic acid metabolomics detection by gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the differences in metabolic profiles between the groups and the effects of clinical covariates. Volcano plot and variable importance in the projection (VIP) analysis were applied to screen differential organic acids. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database were used for metabolic pathway enrichment analysis. Machine learning algorithms were adopted to screen the most representative core metabolite combinations and verify the discriminatory efficacy of organic acids for disease status.
resultsThe urinary organic acid metabolic profiles showed a significant separation trend between the calculi group and the non-calculi group (OPLS-DA:
conclusionPatients with urinary calculi present obvious disorders in urinary organic acid metabolism, which are mainly involved in energy and amino acid metabolic pathways and closely associated with the pathogenesis of urinary calculi. The five core metabolites (propionylglycine, 5-hydroxyindole-3-acetic acid, kynurenic acid, orotic acid and fumaric acid) can effectively distinguish calculi from non-calculi populations, and can serve as representative metabolic biomarkers to provide novel targets for subsequent mechanism exploration and targeted intervention.
Indexed as
Identifiers
42493440PMC13402060What Socratic holds
Registered trials
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 Socratic graph.