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Record W4396793648 · doi:10.3233/bpl-230154

Effects of Intravenously Administered Plasma from Exercise-Trained Donors on Microglia and Cytokines in a Transgenic Rat Model of Alzheimer’s Disease

2024· article· en· W4396793648 on OpenAlexaboutno aff
Aleksi M. Huuha, Cecilie Skarstad Norevik, Jeff S. Coombes, Ragnhild N. Røsbjørgen, Rodrigo Miguel‐dos‐Santos, José Bianco Nascimento Moreira, Asgeir Kobro‐Flatmoen, Nathan Scrimgeour, Atefe R. Tari

Bibliographic record

VenueBrain Plasticity · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsnot available
FundersNorges ForskningsrådHelse Midt-NorgeCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsMicrogliaGenetically modified mouseDiseaseTransgeneMedicineRat modelPharmacologyImmunologyNeuroscienceInternal medicineInflammationPsychologyChemistryBiochemistryGene

Abstract

fetched live from OpenAlex

Background: Microglia and inflammation play a significant role in Alzheimer's disease (AD). Physical exercise and peripheral signals can influence microglial activity in the brain. Modulating the inflammatory response in the brain may provide therapeutic approaches for AD. Objective: To assess the effects of intravenously administered blood plasma from exercise-trained donor rats on cognitive function, microglia, and cytokine levels in an AD rat model at two different pathological stages; an early pre-plaque stage and a later stage closer to the emergence of extracellular plaques. Methods: Male transgenic McGill-R-Thy1-APP rats aged 2 and 5 months received 14 injections over 6 weeks: 1) plasma from exercise-trained rats (ExPlas), 2) plasma from sedentary rats (SedPlas), or 3) saline. Cognitive function was evaluated in a novel object recognition task. Microglia count and morphology were analyzed in cornu ammonis, dentate gyrus, entorhinal cortex, and subiculum. Amyloid plaque number and size were assessed in the rats with the later treatment start. A multiplex assay was used to measure 23 cytokines in cornu ammonis. Results: In rats treated from 2 months of age, ExPlas and SedPlas increased number and length of microglial branches in cornu ammonis and dentate gyrus compared to saline. Only ExPlas-treated rats exhibited similar changes in subiculum, while entorhinal cortex showed no differences across treatments. Microglia count remained unaffected. In rats treated from 5 months of age, there were no significant differences in microglia count or morphology or the number or size of amyloid plaques in any brain region. Compared to both other treatments in early pre-plaque stage rats, SedPlas increased TNF-α levels. ExPlas upregulated GM-CSF, IL-18, and VEGF, while SedPlas increased IL-10 compared to saline. In later-stage rats, ExPlas upregulated IL-17, and SedPlas upregulated TNF-α compared to saline. There were no effects of treatments on recognition memory. Conclusions: Intravenous injections of blood plasma from exercise-trained and sedentary donors differentially modulated microglial morphology and cytokine levels in the AD rat model at an early pre-plaque stage of pathology. Exercised plasma may reduce proinflammatory TNF-α signaling and promote microglial responses to early Aβ accumulation but the lack of treatment effects in the later-stage rats emphasizes the potential importance of treatment timing.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.029
GPT teacher head0.254
Teacher spread0.224 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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