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Record W4404296910 · doi:10.1016/j.bbih.2024.100903

Genetic association of the kynurenine pathway to suicidal behavior

2024· article· en· W4404296910 on OpenAlexaff
Rabah Tamimou, Christine Montout, Thibault Mura, Ismaël Conejero, Philippe Courtet, Pablo Bonilla-Escribano, Carlos Riaza, Concepción Vaquero‐Lorenzo, Enrique Baca‐García, Fabrice Jollant, Serge Lumbroso, Kévin Mouzat, Jorge López‐Castromán

Bibliographic record

VenueBrain Behavior & Immunity - Health · 2024
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcGill University
FundersCentre Hospitalier Universitaire de Nîmes
KeywordsKynurenine pathwaySingle-nucleotide polymorphismKynurenineGeneBiologyGeneticsGenotypeTryptophan

Abstract

fetched live from OpenAlex

Suicidal behavior has been associated with dysfunctions in the kynurenine pathway, including alterations in the levels of neuroprotective and neurotoxic metabolites. Changes in the catalytic activity of enzymes within the pathway may contribute significantly. Variations in the genes encoding enzymes within the pathway can significantly affect their catalytic activity, playing a crucial role in the process. To explore this possibility, we hypothesized that these genetic variations would occur more frequently in patients with a history of suicidal behavior compared to non-suicidal individuals. Thus, we investigated the relationship between a history of suicide attempts and five single nucleotide polymorphisms (SNPs) within genes involved in the kynurenine pathway: IDO1 (rs7820268), IDO2 (rs10109853), KMO (rs1053230), KAT1 (rs10988134), and ACSMD (rs2121337). Our sample comprised 849 subjects: 325 individuals who had attempted suicide in their lifetime (SAs), 99 individuals with a history of major depression disorder but no previous suicide attempts (non-SAs), and 425 non-psychiatric controls (CTRL). We performed SNP association analyses using codominant, dominant, and recessive models. Adjustment for sex and multiple comparisons was applied. After adjustment, the analysis revealed that SAs showed a significantly higher frequency of T alleles and TT genotypes of the rs1053230 SNP compared to CTRL across nearly all models. Furthermore, in the recessive model, non-SAs displayed a higher prevalence of the TT genotype of the rs10109853 SNP compared to CTRL. The rs1053230 and rs10109853 SNPs could play a role in the previously observed metabolic dysregulation among SAs and non-SAs, respectively. To validate our findings, it is crucial to conduct functional analyses to investigate the impact of rs10109853 and rs1053230 SNPs on the expression and/or catalytic activity of the corresponding enzymes. • Kynurenine pathway genetics may impact mood and suicidal risk. • Suicide attempters had more T alleles in a critical enzyme SNP than controls. • Another SNP was associated with a history of major depression. • Functional analyses on genetic variants of the KYN pathway are warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.316
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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