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Record W4253090764 · doi:10.3410/f.734755770.793558121

Faculty Opinions recommendation of Recirculating Intestinal IgA-Producing Cells Regulate Neuroinflammation via IL-10.

2019· dataset· en· W4253090764 on OpenAlexfundno aff
Takeshi Tsubata

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2019
Typedataset
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersUniversity of California, San FranciscoEMD SeronoNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungGenentechMultiple Sclerosis SocietyMultiple Sclerosis Society of CanadaValhalla FoundationBiogenCelgeneTeva Pharmaceutical IndustriesAtara BiotherapeuticsEli Lilly and CompanyU.S. Department of DefenseEuropean Genomic Institute for DiabetesSanofiNational Multiple Sclerosis SocietyCanadian Institutes of Health ResearchNational Science Foundation
KeywordsExperimental autoimmune encephalomyelitisMultiple sclerosisNeuroinflammationImmunologyImmunoglobulin AEffectorAntibodyBiologyImmunoglobulin GInflammation

Abstract

fetched live from OpenAlex

Plasma cells (PC) are found in the CNS of multiple sclerosis (MS) patients, yet their source and role in MS remains unclear.We find that some PC in the CNS of mice with experimental autoimmune encephalomyelitis (EAE) originate in the gut and produce immunoglobulin A (IgA).Moreover, we show that IgA + PC are dramatically reduced in the gut during EAE, and likewise, a reduction in IgA-bound fecal bacteria is seen in MS patients during disease relapse.Removal of plasmablast (PB) and/or PC resulted in exacerbated EAE that was normalized by the introduction of gut-derived IgA + PC.Furthermore, mice with an over-abundance of IgA + PB and/or PC were specifically resistant to the effector stage of EAE, and expression of interleukin (IL)-10 by PB and/or PC was necessary and sufficient to confer resistance.Our data show that IgA + PB and/ or PC mobilized from the gut play an unexpected role in suppressing neuroinflammation.

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)0.002
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.998
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0090.011
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1210.061

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 head0.071
GPT teacher head0.380
Teacher spread0.309 · 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.

Study designNot applicable
DomainEvaluation
GenreDataset

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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