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Record W3108229962 · doi:10.1101/2020.11.23.20237206

The Contrasting Role of Nasopharyngeal Angiotensin Converting Enzyme 2 ( <i>ACE2</i> ) Expression in SARS-CoV-2 Infection: A Cross-Sectional Study of People Tested for COVID-19 in British Columbia

2020· preprint· en· W3108229962 on OpenAlexafffundabout
Aidan M. Nikiforuk, Kevin S. Kuchinski, David D. W. Twa, Christine D. Lukac, Hind Sbihi, C. Andrew Basham, Christian Steidl, Natalie Prystajecky, Agatha N. Jassem, Mel Krajden, David M. Patrick, Inna Sekirov

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsBC Cancer AgencyBC Centre for Disease ControlUniversity of British Columbia
FundersBritish Columbia Centre for Disease ControlGenome British Columbia
KeywordsTMPRSS2Viral loadGene expressionAngiotensin-converting enzyme 2BiologyVirologyVirusPopulationImmunologyGeneInternal medicineCoronavirus disease 2019 (COVID-19)MedicineGeneticsDisease

Abstract

fetched live from OpenAlex

Summary Background Angiotensin converting enzyme 2 ( ACE2 ) serves as the host receptor for SARS-CoV-2, with a critical role in viral infection. We aim to understand population level variation of nasopharyngeal ACE2 expression in people tested for COVID-19 and the relationship between ACE2 expression and SARS-CoV-2 viral RNA load, while adjusting for expression of the complementary protease, Transmembrane serine protease 2 ( TMPRSS2) , soluble ACE2 , age, and biological sex. Methods A cross-sectional study of n=424 participants aged 1-104 years referred for COVID-19 testing was performed in British Columbia, Canada. Participants who tested negative or positive for COVID-19 were matched by age and biological sex. Viral and host gene expression was measured by quantitative reverse-transcriptase polymerase chain reaction. Bivariate analysis and multiple linear regression were performed to understand the role of nasopharyngeal ACE2 expression in SARS-CoV-2 infection. The ACE2 gene was targeted to measure expression of transmembrane and soluble transcripts. Findings Analysis shows no association between age and nasopharyngeal ACE2 expression in those who tested negative for COVID-19 (P=0·092). Mean expression of transmembrane (P=1·2e-4), soluble ACE2 (P<0·0001) and TMPRSS2 (P<0·0001) differed between COVID-19-negative and -positive groups. In bivariate analysis of COVID-19-positive participants, expression of transmembrane ACE2 positively correlated with SARS-CoV-2 RNA viral load (P<0·0001), expression of soluble ACE2 negatively correlated (P<0·0001), and no correlation was found with TMPRSS2 (P= 0·694 ) . Multivariable analysis showed that the greatest viral RNA loads were observed in participants with high transmembrane ACE2 expression ( B =0·886, 95%CI:[0·596 to 1·18]), while expression of soluble ACE2 may protect against high viral RNA load in the upper respiratory tract ( B = −0·0990, 95%CI:[−0·176 to −0·0224]). Interpretation Nasopharyngeal ACE2 expression plays a dual, contrasting role in SARS-CoV-2 infection of the upper respiratory tract. Transmembrane ACE2 positively correlates, while soluble ACE2 negatively correlates with viral RNA load after adjusting for age, biological sex and expression of TMPRSS2. Funding This project (COV-55) was funded by Genome British Columbia as part of their COVID-19 rapid response initiative.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.470

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.362
Teacher spread0.304 · 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 designObservational
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

Citations0
Published2020
Admission routes3
Has abstractyes

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