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Record W4405484486 · doi:10.1016/j.bbi.2024.12.025

Astrocyte neuronal metabolic coupling in the anterior cingulate cortex of mice with inflammatory pain

2024· article· en· W4405484486 on OpenAlexaff
P Reid, Danielle Halasz, Ana Leticia Simal, James D. Tang, Fariya Zaheer, Jaime Tuling, Gabriel J. Levine, Jana Michaud, Andrea L. Clark, Giannina Descalzi

Bibliographic record

VenueBrain Behavior and Immunity · 2024
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnterior cingulate cortexAstrocyteNeuroscienceCingulate cortexCoupling (piping)Cortex (anatomy)PsychologyMedicineCognitionCentral nervous systemMaterials science

Abstract

fetched live from OpenAlex

• Female and male mice display similar pain hypersensitivity, but female mice show glutamatergic related changes before male mice. • Male mice show sustained increases in lactate levels and enhanced expression of proteins involved in ANLS in the ACC. • Disruption of ANLS in the ACC using antisense-mediated knockdown reduces pain hypersensitivity in female and male mice exposed to the CFA model. • Disruption of ANLS in the ACC reduces pain sensation in a temporary inflammatory pain model in male but not female mice. • A transgenic mouse model of spontaneous osteoarthritis (OA), shows sex-specific enhancement of ANLS in the ACC. Chronic pain is a major global concern, with at least 1 in 5 people suffering from chronic pain worldwide. Mounting evidence indicates that neuroplasticity of the anterior cingulate cortex (ACC) is a critical step in the development of chronic pain. Previously, we found that chronic pain and fear learning are both associated with enhanced neuronal excitability and cause similar neuroplasticity-related gene expression changes in the ACC of male mice. However, neuroplasticity, imposes large metabolic demands. In the brain, neurons have the highest energy needs and interact with astrocytes, which extract glucose from blood, mobilize glycogen, and release lactate in response to neuronal activity. Here, we use chronic and continuous inflammatory pain models in female and male mice to investigate the involvement of astrocyte-neuronal lactate shuttling (ANLS) in the ACC of female and male mice experiencing inflammatory pain. We found that ANLS in the mouse ACC promotes the development of chronic inflammatory pain, and expresses sex specific patterns of activation. Specifically, whereas both male and female mice show similar levels of chronic pain hypersensitivity, only male mice show sustained increases in lactate levels. Accordingly, chronic pain alters the expression levels of proteins involved in lactate metabolism and shuttling in a sexually dimorphic manner. We found that disrupting astrocyte-neuronal lactate shuttling in the ACC prior to inflammatory injury prevents the development of pain hypersensitivity in female and male mice, but only reduces temporary pain in male mice. Furthermore, using a transgenic mouse model (itga1-null mice) that displays a naturally occurring form of spontaneous osteoarthritis (OA), a painful inflammatory pain condition, we found that whereas both female and male mice develop OA, only male mice show increases in mechanisms involved in astrocyte-neuronal lactate shuttling. Our findings thus indicate that there are sex differences in astrocyte-neuronal metabolic coupling in the mouse ACC during chronic pain development.

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)0.001
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 score0.598
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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