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Record W2063812721 · doi:10.1002/jtra.10012

Aluminum inhibition of microglial function in vitro

2002· article· en· W2063812721 on OpenAlexaff
Bei He, Michael J. Strong

Bibliographic record

VenueThe Journal of Trace Elements in Experimental Medicine · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsWestern UniversityRobarts Clinical Trials
Fundersnot available
KeywordsMicrogliaIn vivoIn vitroPhagocytosisChemistryNitric oxideCell cultureProgrammed cell deathCell biologyNeurogliaMacrophageBiophysicsInflammationMolecular biologyBiologyBiochemistryImmunologyApoptosisNeuroscienceCentral nervous system

Abstract

fetched live from OpenAlex

Abstract We have previously observed in vivo that chronic AlCl3 exposure in young adult New Zealand white rabbits induces a reversible motor neuron degeneration. In addition to the development of neurofilamentous aggregates within degenerating neurons, we have also observed a reduction of microglial number and activation. To determine if aluminum could directly effect microglial function in vivo, we used an immortalized murine microglial cell line (BV‐2) to study the effect of organic (aluminum lactate) and inorganic (AlCl3) compounds on microglial function. We have observed a dose‐dependent inhibition of phagocytosis, proliferation, migration, and release of TNF‐α and nitric oxide in the absence of inducing microglial death. Both organic and inorganic aluminum decreased the extent of LPS‐activated microglia‐mediated death of a motor neuron hybridoma cell line (NSC 34). These findings demonstrate that aluminum compounds can directly affect microglial in vitro. J. Trace Elem. Exp. Med. 15:141–152, 2002. © 2002 Wiley‐Liss, Inc.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.001

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 head0.041
GPT teacher head0.287
Teacher spread0.247 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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