Evidence map›Paper›PMID 40297711›Full record

ArticleBrain communications2025

Decoding migraine disorders: parathyroid hormone-related peptide receptors as key genetic drivers.

Andreia Dias, Marta Ferreira, Mariana Santos, Alda Sousa, Carla Oliveira, Miguel Alves-Ferreira, Carolina Lemos

Abstract read
In one paragraph

Article in Brain communications, 2025. 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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1 · What the graph read from it

What it found

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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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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

7 authors.

Andreia Diasi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 4200-135, Portugal.
Marta Ferreirai3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 4200-135, Portugal.
Mariana SantosUnidade Multidisciplinar de Investigação Biomédica (UMIB), Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, Porto 4050-313, Portugal.ORCID https://orcid.org/0000-0002-2343-2215
Alda Sousai3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 4200-135, Portugal.
Carla Oliveirai3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 4200-135, Portugal.ORCID https://orcid.org/0000-0001-8340-2264
Miguel Alves-FerreiraUnidade Multidisciplinar de Investigação Biomédica (UMIB), Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, Porto 4050-313, Portugal.
Carolina Lemosi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 4200-135, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migraine is a complex neurological disorder, and the most common migraine categories are migraine with aura and without aura. The higher prevalence of migraine in related individuals compared to the general population indicates a potential genetic predisposition; however, gene expression, which is influenced by both genetic and environmental factors, can also be a major factor in the migraine susceptibility. Given the high number of Portuguese migraine patients whose diagnosis and treatment have not yet been well established, we decided to carry out a whole transcriptome analysis within a migraine Portuguese cohort. This study aims to identify potential biomarkers that could contribute to improved migraine therapy. We performed total RNA sequencing on whole blood samples from 15 migraine patients and 12 age-matched controls. Differential expression analysis and gene set enrichment analysis were performed in different migraine subgroups. Finally, we performed the protein-protein interaction networks of differentially expressed genes. Gene set enrichment analysis comparing migraine patients with controls highlighted upregulated pathways linked to metabolism, and downregulated immuno-inflammatory pathways. Moreover, the groups of female migraine patients and female migraine without aura patients emphasized significant upregulated pathways, including G protein-coupled receptors signalling pathways, when compared with female controls. Interestingly, we found two important differentially expressed genes related to parathyroid hormone:

Indexed as

gene expressionG-protein-coupled receptorsmigraine disordersparathyroid hormoneparathyroid hormone-related peptide receptor

Identifiers

PMID40297711
PMCPMC12034459

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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.