Evidence map›Paper›PMID 39992613›Full record

ArticleVirus genes2025

Plasma proteins and herpes simplex virus infection: a proteome-wide Mendelian randomization study.

Canya Fu, Wenjie Xu, Xia Xu, Fei Zhao, Canjie Zheng, Zhiying Yin

Abstract read
In one paragraph

Article in Virus genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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

6 authors.

Canya Fu *School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Wenjie Xu *Department of Immunity, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, Zhejiang, China.
Xia XuNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Fei ZhaoSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Canjie ZhengDepartment of Immunity, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, Zhejiang, China.
Zhiying YinDepartment of Immunity, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, Zhejiang, China. yzy1815@sohu.com.

Funding

This work was supported by Science and Technology Bureau of Quzhou, Zhejiang, China . (Project No. 2023K178).
6 · The paper itself

Abstract

Proteomics plays a pivotal role in clinical diagnostics and monitoring. We conducted proteome-wide Mendelian randomization (MR) study to estimate the causal association between plasma proteins and Herpes simplex virus (HSV) infection. Data for 2,923 plasma protein levels were obtained from a large-scale protein quantitative trait loci study involving 54,219 individuals, conducted by the UK Biobank Pharma Proteomics Project. HSV-associated SNPs were derived from the FinnGen study, which included a total of 400,098 subjects infected with HSV. MR analysis was performed to assess the links between protein levels and the risk of HSV infection. Furthermore, a Phenome-wide MR analysis was utilized to explore potential alternative indications or predict adverse drug events. Finally, we evaluated the impact of 1,949 plasma proteins on HSV infection, identifying 48 proteins that were negatively associated with HSV infection and 54 proteins that were positively associated. Genetically higher HLA-E levels were significantly associated with increased HSV infection risk (OR = 1.39, 95% CI: 1.17-1.65, P = 2.13 × 10

Indexed as

Blood ProteinsHerpes SimplexProteomeFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideProteomicsQuantitative Trait LociSimplexvirusBlood ProteinsProteomeDrug targetHerpes simplex virusMendelian randomizationPheWASPlasma protein

Identifiers

PMID39992613
PMCPMC12053213

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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.