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Record W2072358512 · doi:10.2298/abs1203843s

Combined treatment with ribavirin and tiazofurin attenuates response of glial cells in experimental autoimmune encephalomyelitis

2012· article· en· W2072358512 on OpenAlexaff
Danijela Savić, Irena Lavrnja, Sanja Đačić, Ivana Bjelobaba, Nadežda Nedeljković, Sanja Peković, Mirjana Stojiljković

Bibliographic record

VenueArchives of Biological Sciences · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsAstrogliosisMultiple sclerosisExperimental autoimmune encephalomyelitisMicrogliaGliosisRibavirinImmunologyMedicineEncephalomyelitisAstrocyteCentral nervous systemPharmacologyPathologyInflammationVirusInternal medicine

Abstract

fetched live from OpenAlex

Experimental autoimmune encephalomyelitis (EAE) is an animal model of multiple sclerosis (MS), a human inflammatory and demyelinating disease. Microglia and astrocytes are glial cells of the central nervous system (CNS) that play a dual role in MS and EAE pathology. The aim of this study was to examine the effect of combined treatment with two nucleoside analogues, ribavirin and tiazofurin, on microglia and astrocytes in actively induced EAE. Therapeutic treatment with a combination of these two nucleoside analogues reduced disease severity, mononuclear cell infiltration and demyelination. The obtained histological results indicate that ribavirin and tiazofurin changed activated microglia into an inactive type and attenuated astrocyte reactivity at the end of the treatment period. Since reduction of reactive microgliosis and astrogliosis correlated with EAE suppression, the present study also suggests that the obtained beneficial effect of ribavirin and tiazofurin could be a consequence of their action inside as well as outside the CNS.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.053
GPT teacher head0.282
Teacher spread0.229 · 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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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