Evidence map›Paper›PMID 41038741›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2025

Whole transcriptome analysis of peripheral blood mononuclear cells from de novo and drug-naive Parkinson's disease patients.

Francisco Navarrete, Marina Guillot-Fernández, Lorena Martínez-Hostyn, Daniela Navarro, José A Molina, Jose P López-Atalaya, Jorge Manzanares

Abstract read
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Francisco NavarreteInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain; Red de Investigación en Atención Primaria de Adicciones (RIAPAd), Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
Marina Guillot-FernándezInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain.
Lorena Martínez-HostynInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain; Red de Investigación en Atención Primaria de Adicciones (RIAPAd), Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
Daniela NavarroInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain; Red de Investigación en Atención Primaria de Adicciones (RIAPAd), Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
José A MolinaServicio de Neurología y Fundación para la Investigación Biomédica del Hospital 12 de Octubre, Madrid, Spain.
Jose P López-AtalayaInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain.
Jorge ManzanaresInstituto de Neurociencias, Universidad Miguel Hernández-CSIC, San Juan de Alicante, Alicante, Spain; Red de Investigación en Atención Primaria de Adicciones (RIAPAd), Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain. Electronic address: jmanzanares@umh.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-based biomarkers represent a highly convenient and minimally invasive method to improve the diagnosis of Parkinson's disease (PD), particularly at early stages. In this study, we present a comprehensive analysis of transcriptional changes in peripheral blood mononuclear cells (PBMCs) from de novo and drug-naive, recently diagnosed PD patients (n ​= ​23) and healthy sex- and age-matched controls (n ​= ​16). Whole-transcriptome analysis revealed differentially expressed genes (DEGs) in PBMCs from PD patients, including genes with immune-related functions such as CHI3L1, FAM198B, ID3, MDX1, and PROK2. Gene set enrichment analysis (GSEA) further identified alterations in immune pathways, including the IL-6/JAK/STAT3 signaling pathway and the complement cascade, associated with PD. We performed cross-validation using two independent whole-blood transcriptomic datasets from PD patients to assess the reproducibility and biological relevance of our findings. Both comparisons showed moderate but highly significant correlations in gene expression patterns. Overall, our results reveal robust and reproducible transcriptional alterations in PBMCs from early-stage PD patients, underscoring the contribution of immune dysregulation to PD pathogenesis. These findings support the potential of PBMC transcriptomics as a valuable platform for biomarker discovery in Parkinson's disease.

Indexed as

Gene Expression ProfilingLeukocytes, MononuclearParkinson DiseaseTranscriptomeAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersBiomarkersImmune dysregulationParkinson's diseasePeripheral blood mononuclear cellsWhole transcriptomics

Identifiers

PMID41038741
PMCPMC12664561

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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.