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Record W4405836526 · doi:10.1016/j.ghres.2024.100004

Neurogliovascular alterations in brain pathologies across lifespan

2024· article· en· W4405836526 on OpenAlexafffund
Béatrice Daigle, Laura Menegatti Bevilacqua, NoelValérie Pineau Noël, Manon Lebel, CoteDaniel Côté, LevesqueMartin Lévesque, Caroline Ménard

Bibliographic record

VenueGlial health research. · 2024
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversité Laval
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaFonds de recherche du Québec – Nature et technologiesCanadian Institutes of Health ResearchFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsNeuroscienceBiologyPsychology

Abstract

fetched live from OpenAlex

Neurological and psychiatric illnesses present significant challenges across different stages of life. Adolescence is associated with a high incidence of eating disorders along with mood and anxiety disorders, while aging frequently brings psychiatric conditions that precede or accompany neurodegenerative diseases. Current treatments targeting neurotransmitter systems have limited effectiveness, with high relapse rates and few options to slow down disease progression. Increasing evidence highlights the importance of glial cells and the neurogliovascular unit (NVU) in brain pathologies. The NVU is formed by endothelial cells, pericytes, astrocytes, microglia, and neurons. Among many functions, it modulates cerebral blood flow and supports blood-brain barrier (BBB) integrity while being involved in neuroinflammatory responses. High peripheral inflammation in eating disorders could lead to BBB disruption and pro-inflammatory astrocytic and microglial states, affecting neuronal health and subsequently promoting unhealthy eating habits. Endothelial and glia cells play a central role in mood and anxiety disorder pathophysiology by fostering brain inflammation via BBB leakage and NVU alterations. In neurodegenerative conditions, such as Alzheimer’s and Parkinson’s diseases, NVU dysfunction aggravates cognitive decline and neuronal loss, while also contributing to amyloid-β and α-synuclein aggregation. This review seeks to highlight current knowledge about the involvement of the NVU in brain disorders across lifespan, stressing the need to better integrate vascular and glial research in targeted therapeutic strategies to optimize symptom alleviation, slow down or even prevent eating, mood, anxiety and neurodegenerative conditions. • Increased inflammation contributes to vascular dysfunction in brain pathologies. • The neurogliovascular unit may participate in eating disorders. • Mood disorders are associated with impaired endothelial and glial cell functions. • Neurogliovascular alterations are found in neurodegenerative diseases. • Research on sex differences in brain pathologies is limited at the vascular level.

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)0.001
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.210
GPT teacher head0.514
Teacher spread0.304 · 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

Citations3
Published2024
Admission routes2
Has abstractyes

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