MétaCan
Menu
Back to cohort
Record W4413284404 · doi:10.1093/ijnp/pyaf052.151

603. CONVERGING HUMAN-SPECIFIC EVIDENCE IMPLICATES ASTROCYTIC GLUTAMATE REGULATION IN STRESS-RELATED PSYCHIATRIC DISORDERS

2025· article· en· W4413284404 on OpenAlexaff
Deepak Kaul, Allison E. Curry, Elisabeth B. Binder, Janine Arloth, Naguib Mechawar, Sibylle G. Schwab, Lezanne Ooi, Natalie Matosin

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsDouglas Mental Health University Institute
Fundersnot available
KeywordsGlutamate receptorNeurosciencePsychologyPsychiatryClinical psychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Severe stress is the leading environmental risk factor for psychiatric disorders. Yet, we have a limited understanding of what underlies this association in humans. Astrocytes, an abundant non-neuronal cell type, are key regulators of synaptic transmission. Rodent studies indicate that stress impairs the capacity to regulate neurotransmission, which can drive the development of psychiatric-like symptoms. However, psychopathology in humans is complex, and these cells are poorly evolutionarily conserved, necessitating human-relevant evidence to translate these findings. Aims & Objectives To understand the profile of human prefrontal cortex astrocytes and how they are altered by stress exposure in the context of neuropsychiatric disorders. Method We used single nucleus RNA-sequencing (n=87) and spatial transcriptomics (n=13) from the orbitofrontal cortex (BA11) to examine human astrocyte diversity. We used this basis of diversity to examine how individuals diagnosed with a psychiatric disorder stratified by profound stress exposure prior to diagnosis differ from those without. Immunohistochemistry (IHC) of was used to further dissect the impact of stress on the morphology of >20,000 astrocytes. The functional impacts of stress were examined using astrocytes (iAsts) differentiated from human embryonic stem cells. iAsts were treated with 100nM dexamethasone (DEX) for 1-7 days to activate the cortisol response. Neurotransmitter clearance and neurotransmitter Ca2+ response were quantified. Results We identified that grey matter astrocytes involved in synapse homeostasis were delineable between stress-stratified cases. Exploratory analysis identified that effects were associated with sex (greater in females) and timing of stress (greater in early-life exposure). EAAT2-expressing astrocytes were denser across the layers of the cortex (P=0.002-0.016) and covered a greater domain, particularly in layers V-VI (Padj=2.43x10-4). iAsts treated with DEX had reduced glutamate clearance after 3 days (P=3.5x10-6) and increased Ca2+ response to both glutamate (P=0.004) and NMDA (P=0.0047) after 7 days. Discussion & Conclusions Our findings indicate that astrocytes are associated with lasting changes in individuals with psychiatric disorders exposed to profound stress, especially in grey matter astrocytes involved in glutamate regulation. These cells may be key responders to stress and, thus, an important focus for intervention or prevention strategies. This presentation provides novel data on the lasting impacts of severe psychological stress on astrocytes in the human orbitofrontal cortex and the first functional profile of human-derived astrocytes in response to a stress paradigm. Dr Matosin will present unique and previously unpublished data showing the classification of human astrocytes and their diversity in the human cortex, and the significant effects of stress exposure in people who lived with psychiatric disorders. Dr Matosin will also discuss the role of sex and stress timing in these findings and the connections between glucocorticoid and glutamate signalling with relevance to psychopathology.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.352
Teacher spread0.333 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueThe International Journal of NeuropsychopharmacologySame topicDiet and metabolism studiesFrench-language works237,207