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Record W3155847446 · doi:10.1101/2021.04.18.21255699

INTRANASAL APPLICATION OF <i>LACTOCOCCUS LACTIS W 136</i> BACTERIA EARLY IN SARS-Cov-2 INFECTION MAY HAVE A BENEFICIAL IMMUNOMODULATORY EFFECT: A PROOF-OF-CONCEPT STUDY

2021· preprint· en· W3155847446 on OpenAlexaffabout
Léandra Mfuna Endam, Cécile Tremblay, Ali Filali, Martin Desrosiers

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineNasal administrationClinical trialLactococcus lactisTolerabilityIntensive care medicineImmunologyInternal medicineAdverse effectBacteriaBiology

Abstract

fetched live from OpenAlex

ABSTRACT Justification Stimulation of early innate anti-viral responses during the early phase of SARS-COV-2 infection oxygen may improve evolution of illness and late pulmonary complications. This may be possible using a TLR agonist such as a probiotic bacterium possessing desirable immunomodulatory properties. Method We performed a non-contact, open-label, prospective randomized clinical trial comparing intranasally applied Lactococcus lactis W136 with saline irrigation alone in patients within 96 hours of diagnosis of SARS-COV-2 infection not requiring supplemental oxygen. Results Twenty-three of a planned forty participants aged 18-59 without comorbidities were recruited. Irrigation with intranasal L lactis W136 twice-daily for fourteen days of was associated with a nasal response characterised by increase in the symptom of Facial and Throat pain/discomfort, and with a lesser severity in symptoms of i) Fatigue ii) Olfactory dysfunction and iii) Breathlessness. Safety and tolerability were good, with no acute infections or severe deteriorations. Interpretation Facial and throat pain may correspond to postulated mechanism of action corresponding to activation of innate defences with antiviral effects and may explain the potentially protective effects seen. Intranasal L lactis W136 irrigations may thus represent a potentially inexpensive, safe, and easily scalable non-antigen based therapeutic for the continuing global SARS-COV-2 pandemic. Data availability statement Data is available on request from the senior author, Dr Desrosiers: martin-yvon . desrosiers . med@ssss . gouv . qc . ca Funding This work was supported with internal funds from the Desrosiers laboratory at the Centre de Recherche du Centre Hospitaller de l’Université de Montreal (CRCHUM). Competing Interests Dr Desrosiers holds equity in Probionase Therapies inc., Which commercialises Lactococcus lactis W136 for chronic rhinosinusitis.

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)0.001
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.341
Teacher spread0.311 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

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