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Record W4200550013 · doi:10.1126/science.abl5450

Fibrin is a critical regulator of neutrophil effector function at the oral mucosal barrier

2021· article· en· W4200550013 on OpenAlexaff
Lakmali M. Silva, Teresa Greenwell‐Wild, Nicolás Dutzan, Collin L. Tran, Loreto Abusleme, Lih Jiin Juang, Jerry Leung, Elizabeth M. Chun, Andrew Gary Lum, Cary S. Agler, Carlos E. Zuazo, Megan Sibree, Priyam Jani, Vardit Kram, Daniel Martı́n, Kevin Moss, Michail S. Lionakis, Francis Castellino, Christian J. Kastrup, Matthew J. Flick, Kimon Divaris, Thomas Bugge, Niki M. Moutsopoulos

Bibliographic record

VenueScience · 2021
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsCanada's Michael Smith Genome Sciences Centre
FundersNational Institute of Dental and Craniofacial ResearchNational Institute of Diabetes and Digestive and Kidney DiseasesNational Cancer InstituteNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsFibrinEffectorNeutrophil extracellular trapsImmunologyPlasminFibrinolysisBiologyRegulatorInnate immune systemCell biologyInflammationImmune systemMedicineInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Fibrin gums up the works Plasmin is an abundant plasma protease that cleaves and deactivates the clot-associated protein fibrin. Human deficiencies in plasmin and its inactive proenzyme form, plasminogen (PLG), cause severe inflammation in mucosal tissues such as the mouth and eyes. Silva et al . report that, like humans, mice lacking plasminogen accumulate extravascular fibrin and develop an oral pathology that phenocopies human ligneous periodontitis (see the Perspective by Vicanolo and Hidalgo). The excess fibrin activates neutrophils through the αMβ2 (Mac-1) integrin receptor, which triggers the production of reactive oxygen species and neutrophil extracellular traps. Additionally, certain human polymorphisms in the PLG gene were found to be associated with increased likelihood of developing periodontitis, suggesting that fibrin–neutrophil interactions may be an attractive target for future treatments of this prevalent disease. —STS

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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.329
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.

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

Citations187
Published2021
Admission routes1
Has abstractyes

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