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Enregistrement W2154649750 · doi:10.1176/appi.pn.2013.5a14

Could DNA Methylation Affect Suicide Risk?

2013· article· en· W2154649750 sur OpenAlexaboutno aff
Aaron Levin

Notice bibliographique

RevuePsychiatric News · 2013
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueEpigenetics and DNA Methylation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDNA methylationEpigeneticsAffect (linguistics)MethylationPsychologySuicide attemptPsychiatryGeneGeneticsSuicide preventionPoison controlClinical psychologyMedicineBiologyGene expressionMedical emergency

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Clinical and Research NewsFull AccessCould DNA Methylation Affect Suicide Risk?Aaron LevinAaron LevinPublished Online:3 May 2013https://doi.org/10.1176/appi.pn.2013.5a14AbstractGenomewide DNA methylation changes in the hippocampus affect risk of suicide, especially in genes tied to learning, memory, and behavior.Genomewide DNA methylation differences in gene promoter regions in the hippocampus reveal some significant associations with suicide risk, according to researchers at McGill University in Montreal."[O]ur findings suggest that such mechanisms may, in individuals with particular behavioral, molecular, and cellular predispositions, increase susceptibility to suicide," said Gustavo Turecki, Ph.D., a professor of psychiatry and human genetics and director of the McGill Group for Suicide Studies, and colleagues in AJP in Advance online March 20."We think that epigenetic changes occurring early in life may influence how personality traits develop," said Turecki, in an interview with Psychiatric News. "The epigenetic regulation of these processes in the brain may be altered in suicide completers, leading to the dysregulation of cognitive processes."The researchers studied postmortem samples provided by the Quebec Suicide Brain Bank from 46 men who died by suicide and 16 controls who died suddenly by other means and did not have a psychiatric illness.They examined DNA methylation in promoter regions of 23,551 genes in the hippocampus. Methylation is associated with regulation of gene expression."We used a genomewide approach rather than a candidate-gene approach," said Turecki. "A genomewide approach interrogates all genes in the genome rather than a single or group of genes."The researchers found significant differences at 366 locations between the suicide and control cohorts. Of those, 273 probes reflected hypermethylation and 93 were hypomethylated in the hippocampus.They initially investigated the hippocampus because it is involved in stress response and is highly plastic, Turecki explained. "We are now in the process of looking at other important brain regions."Mean gene expression and mean methylation levels were inversely correlated in the study sample.The appearance of variable methylation across the genome suggested that "epigenetic changes in psychiatric disorders may not be limited to a short list of specific gene candidates but may affect multiple functional gene networks in multiple chromosomal regions," the researchers concluded."This is an interesting study and is carefully done," noted Lisa Monteggia, Ph.D., an associate professor of psychiatry at the University of Texas Southwestern Medical School in Dallas.Methylation changes are a reliable marker because they can be detected easily in postmortem tissue due to their covalent bonds, said Monteggia, who has also studied the epigenetics of suicide and depression. However, methylation is not the only mechanism for change in DNA, she added.Other mechanisms of epigenetic change are not so easy to track in an autopsy, she said. "Phosphorylation or acetylation are more difficult to compare because of the more transient nature of those traits." The McGill researchers also took a closer look at a cluster of four genes displaying particularly significant methylation differences between the two cohorts.These were the NR2E1 orphan nuclear receptor gene; the CHRNB2 neuronal acetylcholine receptor subunit beta-2 gene; the GRM7 metabotropic glutaminergic receptor 7 gene; and the DBH dopamine beta-hydroxylase gene.These genes are all related to cell-level processes of learning, memory, behavior, and neuronal communication, such as synaptic transmission. NR2E1 and GRM7 influence behavioral traits such as anxiety, impulsivity, and aggression, all of which are risk factors for suicide. Methylation in those genes may thus affect an individual's ability to respond to psychosocial stress, suggested the authors.CHRNB2 and DBH have been connected with learning and memory formation. The study observed hypermethylation without any difference in DBH gene expression between suicide completers and controls. The authors speculated that the effects of DBH on suicide risk may thus be indirect, working through its role in norepinephrine synthesis.Nevertheless, because suicide is so complex and so much about it remains unknown, it is hard to know precisely how these processes underlie suicide risk factors, said Monteggia."There's still a lot of work that needs to be done to focus into the complex of genes that actually trigger suicidal behavior," she said. "For instance, are these genes related to the pathophysiology of suicide or to the ideation or execution of suicide?" ■An abstract of "Genome-Wide Methylation Changes in the Brains of Suicide Completers" is posted at http://ajp.psychiatryonline.org/Article.aspx?ArticleID=1669750. ISSUES NewArchived

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,186
Score d'incertitude au seuil0,621

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,1860,048

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,274
Écart entre enseignants0,263 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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