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Role of Complex Epigenetic Switching in Tumor Necrosis Factor-α Upregulation in the Prefrontal Cortex of Suicide Subjects

2018· article· en· W2785126233 on OpenAlexaff
Qingzhong Wang, Bhaskar Roy, Gustavo Turecki, Richard C. Shelton, Yogesh Dwivedi

Bibliographic record

VenueAmerican Journal of Psychiatry · 2018
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcGill University
FundersNational Institute of Mental Health
KeywordsPrefrontal cortexEpigeneticsMajor depressive disorderTumor necrosis factor alphaProinflammatory cytokineDorsolateral prefrontal cortexBiologyMedicineInternal medicinePsychiatryGeneticsGeneInflammationAmygdala

Abstract

fetched live from OpenAlex

OBJECTIVE: Proinflammatory cytokines have recently received considerable attention for their role in suicidal behavior; however, how the expression of cytokine genes is regulated is not clearly known. The authors examined underlying mechanisms of critical cytokine gene tumor necrosis factor-alpha (TNF-α) dysregulation in the brains of individuals who died by suicide. METHOD: TNF-α expression was examined in the dorsolateral prefrontal cortex of the postmortem brains of persons with and without major depressive disorder who died by suicide and of persons with major depressive disorder who died of causes other than suicide. The role of putative microRNAs targeting TNF-α and RNA-binding protein Hu antigen R (HuR) was tested with in vitro and in vivo approaches and by examining expression of transactivation response RNA binding protein (TRBP). Genetic influence on TNF-α expression was determined by expression quantitative trait loci analysis and by genotyping three single-nucleotide polymorphisms in the promoter region of the TNF-α gene. Promoter methylation of TNF-α was determined by using methylated DNA immunoprecipitation assay. Expression of miR-19a-3p and TNF-α was also determined in the peripheral blood mononuclear cells of 12 healthy control subjects and 12 currently depressed patients with severe suicidal ideation. RESULTS: TNF-α expression was significantly higher in the dorsolateral prefrontal cortex of individuals who died by suicide, regardless of psychiatric diagnosis. Its expression level was also increased in individuals with major depressive disorder who died by causes other than suicide. On the other hand, expression of miR-19a-3p was upregulated specifically in individuals who died by suicide. In a preliminary observation, similar upregulation of TNF-α and miR-19a-3p was observed in the peripheral blood mononuclear cells of depressed patients with suicidal ideation. Despite its ability to directly target TNF-α in vitro, miR-19a-3p showed no interaction with TNF-α in the dorsolateral prefrontal cortex. HuR potentially stabilized TNF-α transcript, presumably by sequestering its 3' untranslated region from miR-19a-3p-mediated inhibition. Furthermore, decreased TRBP expression supported abnormality in the interaction between miR-19a-3p and TNF-α. Additionally, TNF-α transcriptional upregulation was associated with promoter hypomethylation, whereas no genetic influence on altered TNF-α or miR-19a-3p expression was observed in individuals who died by suicide. CONCLUSIONS: The data in this study provide mechanistic insights into the dysregulation of the TNF-α gene in the brains of individuals who died by suicide, which could potentially be involved in suicidal behavior.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.275
Teacher spread0.258 · 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 teacher head, 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

Citations104
Published2018
Admission routes1
Has abstractyes

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