Evidence map›Paper›PMID 38849401›Full record

ArticleScientific reports2024

Systemic inflammation, oxidative damage and neurocognition predict telomere length in a transdiagnostic sample stratified by global DNA methylation levels.

Joan Vicent Sánchez-Ortí, Patricia Correa-Ghisays, Vicent Balanzá-Martínez, Diego Macías Saint-Gerons, Ester Berenguer-Pascual, Carlos Romá-Mateo, Víctor M Victor, Jaume Forés-Martos, Constanza San-Martin, Gabriel Selva-Vera and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
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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

11 authors.

Joan Vicent Sánchez-Ortí *INCLIVA - Health Research Institute, Valencia, Spain.
Patricia Correa-Ghisays *INCLIVA - Health Research Institute, Valencia, Spain.
Vicent Balanzá-MartínezINCLIVA - Health Research Institute, Valencia, Spain. vicente.balanza@uv.es.
Diego Macías Saint-GeronsINCLIVA - Health Research Institute, Valencia, Spain.
Ester Berenguer-PascualEpiDisease S.L., University of Valencia Scientific Park, Paterna, Valencia, Spain.
Carlos Romá-MateoINCLIVA - Health Research Institute, Valencia, Spain.
Víctor M VictorDepartment of Physiology, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain.
Jaume Forés-MartosINCLIVA - Health Research Institute, Valencia, Spain.
Constanza San-MartinINCLIVA - Health Research Institute, Valencia, Spain.
Gabriel Selva-VeraINCLIVA - Health Research Institute, Valencia, Spain.
Rafael Tabarés-SeisdedosINCLIVA - Health Research Institute, Valencia, Spain. rafael.tabares@uv.es.

Funding

European Regional Development Fund CIPROM/2022/32European Regional Development Fund PROMETEO/2019/027Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana UGP-14-184 ProjectGrand Challenges Canada 0456-03-40Instituto de Salud Carlos III PI22/00424Instituto de Salud Carlos III PI22/1009Ministerio de Ciencia e Innovación CB06/04/0071
6 · The paper itself

Abstract

Epigenetic mechanisms contribute to the maintenance of both type 2 diabetes mellitus (T2DM) and psychiatric disorders. Emerging evidence suggests that molecular pathways and neurocognitive performance regulate epigenetic dynamics in these disorders. The current combined and transdiagnostic study investigated whether inflammatory, oxidative stress, adhesion molecule, neurocognitive and functional performance are significant predictors of telomere dynamics in a sample stratified by global DNA methylation levels. Peripheral blood inflammation, oxidative stress and adhesion molecule biomarkers and neurocognitive function were assessed twice over a 1-year period in 80 individuals, including 16 with schizophrenia (SZ), 16 with bipolar disorder (BD), 16 with major depressive disorder (MDD), 15 with T2DM, and 17 healthy controls (HCs). Leukocyte telomere length (LTL) was measured by qRT-PCR using deoxyribonucleic acid (DNA) extracted from peripheral blood samples. A posteriori, individuals were classified based on their global methylation score (GMS) at baseline into two groups: the below-average methylation (BM) and above-average methylation (AM) groups. Hierarchical and k-means clustering methods, mixed one-way analysis of variance and linear regression analyses were performed. Overall, the BM group showed a significantly higher leukocyte telomere length (LTL) than the AM group at both time points (p = 0.02; η

Indexed as

DNA MethylationInflammationOxidative StressSchizophreniaTelomereAdultBiomarkersBipolar DisorderCase-Control StudiesCognitionDiabetes Mellitus, Type 2Epigenesis, GeneticFemaleHumansLeukocytesMajor Depressive DisorderBiomarkers

Identifiers

PMID38849401
PMCPMC11161596

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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.