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Record W4388924604 · doi:10.1016/j.isci.2023.108518

C1q is essential for myelination in the central nervous system (CNS)

2023· article· en· W4388924604 on OpenAlexafffund
Qiang Yu, Nan Zhang, Teng Guan, Ying Guo, Hassan Marzban, Benjamin W. Lindsey, Jiming Kong

Bibliographic record

VenueiScience · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of Manitoba
FundersChina Scholarship CouncilHorizon 2020 Framework ProgrammeNatural Science Foundation of Hebei ProvinceNational Natural Science Foundation of ChinaFondation Brain CanadaALS Society of Canada
KeywordsMicrogliaMyelinCentral nervous systemNeuroscienceNeural stem cellOligodendrocyteDemyelinating DisorderNeuroinflammationBiologyStem cellChemistryCell biologyImmunologyInflammation

Abstract

fetched live from OpenAlex

Myelin sheath in the central nervous system (CNS) is essential for efficient action potential conduction. Microglia, the macrophages in the CNS, are suggested to regulate myelin development. However, the specific involvement of microglia in initial myelination is yet to be elucidated. Here, first, by culturing neural stem cells, we demonstrated that myelin sheath formation only occurred in the presence of a microglia-conditioned medium. Furthermore, the absence of C1q, a microglia-derived factor, resulted in myelination failure in the neural stem cell culture. Additionally, adding native human C1q protein was sufficient to induce myelination in vitro . Finally, in the C1q conditional knockout mouse model (C1qa FL/FL : Cx3cr1 CreER ), C1q deficiency prior to the onset of myelination led to reduced myelin thickness and elevated g-ratio during initial myelination. This study uncovers the pivotal role of microglia-derived C1q in developmental myelination and could potentially pave the way for new therapeutic strategies for treating demyelinating diseases.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.045
GPT teacher head0.292
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

Citations18
Published2023
Admission routes2
Has abstractyes

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