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Record W7132988778

Astroglia Dysfunction in the Behavioural and Cellular Changes Associated with Chronic Stress

2024· dissertation· W7132988778 on OpenAlexfundno aff
Sierra Anna-Maria Codeluppi

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsnot available
FundersNational Institute of Mental HealthCanadian Institutes of Health ResearchCampbell Family Mental Health Research InstituteYale UniversityNational Institutes of HealthNational Alliance for Research on Schizophrenia and Depression
KeywordsAstrocyteChronic stressGlial fibrillary acidic proteinPrefrontal cortexAstrogliosisAllostasisNeuroplasticityNeuroglia
DOInot available

Abstract

fetched live from OpenAlex

Chronic stress alters the allostasis capabilities of individuals and is a major factor in the development of mood disorders such as major depressive disorder (MDD). In rodents, chronic stress models are used to understand the pathophysiology of MDD, as they induce comparable behavioural and cellular deficits. Since astroglia are involved in the maintenance of homeostasis, and neurotransmission, and support healthy neuronal functioning, it is not surprising that when affected by stress, astrocytes contribute to stress response and that their dysfunction is implicated in stress-related illnesses such as MDD. Rodents exposed to chronic stress exhibit a marked loss in glial fibrillary acidic protein (GFAP) astrocytes in the prefrontal cortex (PFC). As GFAP is a cytoskeletal protein expressed by astrocytes, it was postulated that chronic stress may also affect the morphology of astrocytes. Furthermore, previous studies attempting to determine if there was a causal relationship between astrocyte reductions and behaviour used pharmacological approaches to induce glial loss in key brain regions associated with stress. Specifically, non-specific gliotoxins used in the PFC to ablate glial cells have been shown to induce depressive-like deficits and impair cognitive flexibility. Although this study helped link the development of depressive-like behaviours specifically to glial cells, there is no data that specifically manipulates astrocytes as this has not been possible until recently with the development of new tools such as optogenetics and designer receptors exclusively activated by designer drugs (DREADD). Therefore, in this thesis, we investigated the link between the dysfunction of GFAP+ astrocytes and chronic stress-induced cellular and behavioural changes. Here, I determined that chronic stress induces PFC GFAP cell atrophy which correlates with anhedonia-like behaviour (Aim 1) and demonstrated that cell-specific ablation or activity enhancement of PFC GFAP+ cells induces anhedonia-like behaviour and reverses this deficit in chronic stress mice respectively (Aim 2). These studies contribute evidence linking anhedonia-like behaviour but not anxiety to PFC GFAP+ astroglia. The insights from this work further the understanding of the role of astroglia in stress-related illnesses and have the potential to improve treatment options for mood disorders by suggesting that targeting astroglia cells could be a novel avenue for drug discovery.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.281
Teacher spread0.256 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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