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Record W4200084953 · doi:10.1089/vim.2021.0071

<i>Interleukin-1</i> in COVID-19 Infection: Immunopathogenesis and Possible Therapeutic Perspective

2021· review· en· W4200084953 on OpenAlexaff
Amirhossein Mardi, Sepideh Meidaninikjeh, Sepideh Nikfarjam, Naime Majidi Zolbanin, Reza Jafari

Bibliographic record

VenueViral Immunology · 2021
Typereview
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsCytokine stormImmunologyMedicinePneumoniaImmune systemCoronavirusCytokineCytokine release syndromeDiseaseInflammationCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)ImmunotherapyInternal medicine

Abstract

fetched live from OpenAlex

The newfound coronavirus disease 2019 (COVID-19), initiated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an international public health concern, threatening the lives of millions of people worldwide. The virus seems to have a propensity to infect older males, especially those with underlying diseases. The cytokine storm following hyperactivated immune responses due to SARS-CoV-2 infection is probably the crucial source of severe pneumonia that leads to acute lung injury, systemic inflammatory response syndrome, or acute respiratory distress syndrome, and finally multiple organ dysfunction syndromes, as well as death in many cases. Several studies revealed that interleukin (IL)-1β levels were elevated during COVID-19 infection. In addition, the IL-1 cytokine family has a pivotal role in the induction of cytokine storm due to uncontrolled immune responses in COVID-19 infection. This article reviews the role of IL-1 in inflammation and utilization of IL-1 inhibitor agents in controlling the inflammatory outcomes initiated by SARS-CoV-2 infection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.476
Teacher spread0.384 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations47
Published2021
Admission routes1
Has abstractyes

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