Evidence map›Paper›PMID 40541940›Full record

ArticleNPJ genomic medicine2025

Saliva as a potential diagnostic medium: DNA methylation biomarkers for disorders beyond the oral cavity.

Alba Hernangomez-Laderas, Ariadna Cilleros-Portet, Sergi Marí, Bárbara P González-García, Ane Arregi, Alba Jimeno-Romero, Amaia Irizar, Iraia García-Santisteban, Corina Lesseur, Nora Fernandez-Jimenez and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ genomic medicine, 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. Article
  2. Review
  3. Ferroptosis in salivary gland disorders: mechanisms, biomarkers, and therapeutic perspectives.Apoptosis : an international journal on programmed cell death · 2026
    Review
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

11 authors.

Alba Hernangomez-LaderasDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Ariadna Cilleros-PortetDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Sergi MaríDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Bárbara P González-GarcíaDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Ane ArregiFaculty of Psychology, University of the Basque Country (UPV/EHU), Donostia-San Sebastian, Spain.
Alba Jimeno-RomeroBiogipuzkoa Health Research Institute, Donostia-San Sebastian, Spain.
Amaia IrizarBiogipuzkoa Health Research Institute, Donostia-San Sebastian, Spain.
Iraia García-SantistebanDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Corina LesseurDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nora Fernandez-JimenezDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Jose Ramon BilbaoDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain. joseramon.bilbao@ehu.eus.

Funding

Eusko Jaurlaritza IT1739-22Ministerio de Ciencia, Innovación y Universidades PID2019-106382RB-I00Ministerio de Ciencia, Innovación y Universidades PRE-C-2020-0091
6 · The paper itself

Abstract

Saliva is an accessible biofluid with potential for non-invasive disease diagnostics. This study explores how genetic susceptibility to common diseases is reflected in DNA methylation (DNAm) and gene expression profiles in saliva. We constructed cis-mQTL (n = 345) and cis-eQTL (n = 277) datasets and examined correlations between DNAm and gene expression. Saliva QTLs were integrated with summary statistics from 36 genome-wide association studies (GWAS) using Summary-based Mendelian Randomization (SMR) to identify disease-associated molecular traits. We found 501 CpG sites and 24 genes as candidate biomarkers, as well as 56 eQTMs linked to conditions such as prostate cancer, squamous cell carcinoma, coronary artery disease, type 2 diabetes, and Parkinson's disease. This work introduces a publicly available resource and suggests that saliva-based molecular signatures may capture systemic disease risk, supporting future exploration as diagnostic markers.

Identifiers

PMID40541940
PMCPMC12181411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.