Exploring the Relationship Between Protein-Level Ratios (rQLTs) and Duodenal Ulcer.

Siwen Tang, Yongwei Li, Xi Yu, Ying Xiao, Tian Zhong

Abstract read

In one paragraph

Article in Current issues in molecular biology, 2026. 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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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.

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2 · The registry

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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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5 · Who and what money

Authors and funding

5 authors.

Siwen TangFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao 999078, China.

Yongwei LiFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao 999078, China.ORCID 0009-0009-9986-2172

Xi YuFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao 999078, China.ORCID 0000-0001-5726-2392

Ying XiaoFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao 999078, China.

Tian ZhongFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao 999078, China.ORCID 0000-0002-8319-9144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the associations between protein-level ratios (rQLTs) and duodenal ulcer (DU) risk using Mendelian randomization (MR), colocalization, and pathway analysis approaches. A bidirectional MR approach was used to identify molecular targets linking rQLTs with DU, employing the inverse variance weighted (IVW) method for causal estimation. Colocalization analysis ensured the reliability of inferred causal relationships. Gene interaction networks were constructed via STRING, and key regulatory hub-genes were identified through Cytoscape analysis. Significant inverse associations were found between

Indexed as

duodenal ulcers (DU)Mendelian randomization (MR)protein-level ratios (rQTLs)

Identifiers

PMID42353647

DOI10.3390/cimb48060643

PMCPMC13297859

What Socratic holds

Textmetadata

LicenceCC BY

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Registered trials

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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 Socratic graph.