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Record W7135886704

The SARS-CoV-2 Spike protein modifies the transcriptional profile of human cardiac pericytes

2023· other· en· W7135886704 on OpenAlex
Elisa Avolio, Paolo R Madeddu, Prashant Srivastava, Costanza Emanueli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExplore Bristol Research · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsDownregulation and upregulationSpike (software development)ReceptorInflammationRNASignal transduction
DOInot available

Abstract

fetched live from OpenAlex

Human cardiac pericytes express the receptors for SARS-CoV-2 and contribute to microvascular dysfunction in COVID-19 patients. The SARS-CoV-2 capsid Spike protein seems to play a direct role in COVID-19 microangiopathy, but it is not known yet whether the Spike protein alone, without the infectious virus, can induce transcriptional alterations in pericytes. This study investigated the signalling pathways activated by the Spike protein in cultured human cardiac pericytes. We found that 309 RNA transcripts were significantly modulated in pericytes exposed to the Spike protein, with the upregulation of pathways linked to inflammation and viral 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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.019

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 head0.263
GPT teacher head0.427
Teacher spread0.164 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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