Evidence map›Paper›PMID 39448683›Full record

ArticleScientific reports2024

Self-control study of multi-omics in identification of microenvironment characteristics in urine of uric acid stone.

Shang Xu, Zhi-Long Liu, Tian-Wei Zhang, Bin Li, Xin-Ning Wang, Wei Jiao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Shang XuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.
Zhi-Long LiuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.
Tian-Wei ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.
Bin LiDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.
Xin-Ning WangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China. wangxinning@qduhospital.cn.
Wei JiaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China. jiaowei@qduhospital.cn.

Funding

Shandong Province medical health science and technology project 202304051690
6 · The paper itself

Abstract

The aim of this study is to perform proteomic and metabolomic analyses in bilateral renal pelvis urine of patients with unilateral uric acid kidney stones to identify the specific urinary environment associated with uric acid stone formation. Using cystoscopy-guided insertion of ureteral catheters, bilateral renal pelvis urine samples are collected. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is employed to identify differentially expressed proteins and metabolites in the urine environment. Differentially expressed proteins and metabolites are further analyzed for their biological functions and potential metabolic pathways through Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. In the urine from the stone-affected side, eight differential proteins were significantly upregulated, and six metabolites were dysregulated. The uric acid stone urinary environment showed an excess of α-ketoisovaleric acid and 3-methyl-2-oxovaleric acid, which may contribute to the acidification of the urine. Functional and pathway analyses indicate that the dysregulated metabolites are mainly associated with insulin resistance and branched chain amino acid metabolism.

Indexed as

Kidney CalculiMetabolomicsTandem Mass SpectrometryUric AcidAdultChromatography, LiquidFemaleHumansMaleMetabolomeMiddle AgedMultiomicsProteomicsUric AcidLiquid chromatography-tandem mass spectrometryMetabolomicsProteomicsUrineUrolithiasis

Identifiers

PMID39448683
PMCPMC11502694

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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.