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Record W4380423267 · doi:10.1152/ajplung.00107.2023

Ultrasound-guided transfection of claudin-5 improves lung endothelial barrier function in lung injury without impairing innate immunity

2023· article· en· W4380423267 on OpenAlexafffund
Rajiv Sanwal, Victoria Mintsopoulos, Mihails Ditmans, Alice Lang, Elyse Latreille, Siavash Ghaffari, Negar Khosraviani, Raffi Karshafian, Howard Leong‐Poi, David Hwang, Laurent Brochard, Alberto Goffi, Arthur S. Slutsky, Warren L. Lee

Bibliographic record

VenueAmerican Journal of Physiology-Lung Cellular and Molecular Physiology · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreToronto Metropolitan UniversityUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsGovernment of Canada
KeywordsInnate immune systemLungARDSTransfectionMicrobubblesMedicineClaudinTight junctionImmunityImmunologyBiologyUltrasoundCell biologyImmune systemInternal medicineGeneRadiology

Abstract

fetched live from OpenAlex

Acute respiratory distress syndrome is characterized by spatial heterogeneity, with severely injured lung regions adjacent to relatively normal areas. This makes targeting treatment to the injured regions difficult. Here we use thoracic ultrasound and intravenous microbubbles (USMBs) to direct gene transfection specifically to injured lung regions. Transfection of the tight junction protein claudin-5 improved oxygenation and decreased vascular leakage without impairing innate immunity. These findings suggest that USMB is a novel treatment for ARDS.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 head0.007
GPT teacher head0.260
Teacher spread0.254 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

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