Evidence map›Paper›PMID 42125268›Full record

ArticleKidney diseases (Basel, Switzerland)

Identification of Potential Oxidative Stress-Related Causal Genes for Calculus of Kidney and Ureter: A Multi-Omics Mendelian Randomization Analysis.

Wuyue Gao, Yuanyuan Guo, Beibei Liu, Wei Sun, Yiming Sun, Xin Liang

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland). 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
–field-weighted citation impact
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

6 authors.

Wuyue GaoDepartment of Urology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Yuanyuan GuoDepartment of Urology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Beibei LiuDepartment of Urology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Wei SunDepartment of Urology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Yiming SunDepartment of Pharmacy, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Xin LiangDepartment of Pharmacy, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Oxidative stress contributes to kidney and ureteral calculi, but the specific genes and mechanisms remain unclear. This study integrates methylation quantitative trait loci (mQTL), expression QTL (eQTL), and protein QTL (pQTL) data with genome-wide association study (GWAS) data to identify oxidative stress-related genes linked to calculi. Methods: Summary data-based mendelian randomization (SMR) and colocalization analyses were performed using GWAS data from FinnGen (discovery) and UK Biobank (UKB; validation) to identify oxidative stress-related genes associated with calculus risk. External validation employed a genetic hypercalciuric stone-forming (GHS) rat transcriptomic dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, together with protein-protein interaction (PPI) network, were used to characterize functional pathways and central regulators. Results: SMR and colocalization analyses in FinnGen identified 172 mQTLs, 27 eQTLs, and 5 pQTLs associated with calculus risk, with subsets validated in UKB. Multi-omics integration highlighted Conclusion: Oxidative stress-related genes, particularly

Indexed as

Kidney calculiMendelian randomization analysisMulti-omicsOxidative stressQuantitative trait lociUreteral calculi

Identifiers

PMID42125268
PMCPMC13160513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.