Evidence map›Paper›PMID 42073402›Full record

ArticleLife (Basel, Switzerland)2026

Integrating Weighted Gene Co-Expression Network and Differential Expression Analyses to Unveil the Role of RNA m6A Methylation Regulators in Idiopathic Parkinson's Disease in Latin America.

Francisco Leiva, Luis Constandil, Pedro Chana-Cuevas, Rene L Vidal, Bernardo Morales, Rodrigo Vidal

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 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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0citing papers in PubMed
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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

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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

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.

Francisco LeivaLaboratory of Genomics, Molecular Ecology and Evolutionary Studies, Department of Biology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9170022, Chile.
Luis ConstandilLaboratory of Neurobiology, Department of Biology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9170022, Chile.ORCID 0000-0002-2504-0119
Pedro Chana-CuevasFaculty of Medicine, University of Santiago of Chile, Santiago 9170022, Chile.ORCID 0000-0001-9946-3299
Rene L VidalCenter for Integrative Biology, Universidad Mayor, Santiago 7510041, Chile.ORCID 0000-0002-4305-7387
Bernardo MoralesLaboratory of Neuroscience, Department of Biology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9170022, Chile.ORCID 0000-0003-2879-7480
Rodrigo VidalLaboratory of Genomics, Molecular Ecology and Evolutionary Studies, Department of Biology, Faculty of Chemistry and Biology, University of Santiago of Chile, Santiago 9170022, Chile.ORCID 0000-0003-4266-959X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic Parkinson's disease (iPD) represents the most prevalent form of Parkinson's disease; however, the molecular mechanisms underlying its development remain only partially understood. N6-methyladenosine (m6A), the most abundant internal RNA modification in eukaryotic mRNA, has emerged as a key regulator of gene expression and has been implicated in neurodegenerative disorders. In this study, we performed integrated differential expression, weighted gene co-expression network analysis (WGCNA), and differential co-expression (DECO) analyses using peripheral blood RNA-seq data from Latin American controls and early iPD patients to investigate m6A-associated transcriptional alterations. WGCNA and differential expression analyses identified 1207 hub genes and 237 differentially expressed genes, respectively. The integration of these datasets with curated m6A-related genes yielded 12 overlapping candidate genes associated with early iPD. Subsequent DECO analysis revealed three significant m6A regulator-target differential co-expression links involving the m6A factors

Indexed as

m6A methylationm6A-related genesParkinson’s disease

Identifiers

PMID42073402
PMCPMC13117069

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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.