Evidence map›Paper›PMID 41607796›Full record

ArticleFrontiers in immunology2025

BioWinfordMR: an online platform for comprehensive Mendelian randomization analysis.

Yunfeng Wang, Tong Wu, Xinliang Lu, Xiaoqiong Wang, Wenhua Xue

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Yunfeng WangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Tong WuDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xinliang LuInstitute of Immunology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoqiong WangDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Hefei, Hefei, Anhui, China.
Wenhua XueThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mendelian randomization (MR) has become a tool for the rapid and accurate identification of genetic relationships between phenotypes. However, owing to the lack of rigorous and standard analytical tools, many MR conclusions are unreproducible or controversial. Therefore, we developed the BioWinfordMR platform, which integrates curated GWAS data from multiple categories using a Shiny server to automate MR analysis. Method: We developed an online platform, BioWinfordMR, to infer the causality between sepsis, gut microbiota, and immune cells. BioWinfordMR efficiently integrates core analytical functions for MR studies. Its scientific and rigorous analytical pipeline coupled with high-performance computing capabilities from large-scale servers ensures reproducible and valid analytical conclusions. The main findings of the case study were verified using flow cytometry and real-time polymerase chain reaction (RT-PCR) analysis. Results: Through systematic analysis, we found that CD62L-CD86+ myeloid dendritic cells (DCs) were key intermediate factors that increased the risk of sepsis with enhanced gut microbiota. We also identified two risk genes, Conclusions: We developed a platform called BioWinfordMR to facilitate various MR analyses. BioWinfordMR ensures the accuracy and reproducibility of MR analysis and allows the discovery of potential causal relationships.

Indexed as

Mendelian Randomization AnalysisSepsisSoftwareDendritic CellsGastrointestinal MicrobiomeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideReproducibility of ResultsBioWinfordMRcausal inferencegut microbiotaGWASimmune cellsMendelian randomizationsepsis

Identifiers

PMID41607796
PMCPMC12835390

What Socratic holds

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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.