Evidence map›Paper›PMID 41497575›Full record

ArticleParkinson's disease2025

Genome-Wide Association Studies Data and Transcriptomics Data Link Herpes Simplex Virus 1 Infection and Parkinson's Disease.

Changhao Lu, Xinyi Cai, Elena Simula, Tommaso Ercoli, Paolo Solla, Leonardo A Sechi

Abstract read
In one paragraph

Article in Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Changhao LuDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy, uniss.it.ORCID https://orcid.org/0009-0000-1419-3868
Xinyi CaiDepartment of Pathology, Shantou University Medical College, Shantou, China, stu.edu.cn.
Elena SimulaDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy, uniss.it.ORCID https://orcid.org/0000-0002-8946-2679
Tommaso ErcoliDepartment of Neurology, University of Sassari, 07100, Sassari, Italy, uniss.it.ORCID https://orcid.org/0000-0002-3260-1754
Paolo SollaDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy, uniss.it.ORCID https://orcid.org/0000-0002-2982-0665
Leonardo A SechiDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy, uniss.it.ORCID https://orcid.org/0000-0003-0566-2049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The main goal of this study is to explore the link between herpes simplex virus 1 (HSV-1) infection and Parkinson's disease (PD) from the genome-wide association studies (GWAS) data and find the shared molecular signature for mechanism understanding and drug repurposing from the transcriptomics data. Methods: We used summary-level GWAS data for causal inference, exploring the association between herpes keratitis (mainly caused by HSV-1) and PD, and used transcriptomics data to study the shared molecular signature for mechanism understanding and drug repurposing. Results: The causal inference analysis implied that HSV-1 infection is related to PD. The upregulated shared gene set between HSV-1 infection and PD is mainly enriched in neuroinflammation, while the downregulated shared gene set is mainly enriched in stem cell and cellular metabolism, and the drug repurposing targeted the shared molecular signature nalfurafine. Conclusion: HSV-1 infection is related to PD, and these two diseases had shared molecular signature such as neuroinflammation and stem cell, which could be targeted for drug repurposing.

Indexed as

herpes simplex virus 1herpesviral keratitisnalfurafineneuroinflammationParkinson’s disease

Identifiers

PMID41497575
PMCPMC12767429

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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 OpenQuestion graph.