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Record W3148467508 · doi:10.1016/j.ebiom.2021.103316

The contrasting role of nasopharyngeal angiotensin converting enzyme 2 (ACE2) transcription in SARS-CoV-2 infection: A cross-sectional study of people tested for COVID-19 in British Columbia, Canada

2021· article· en· W3148467508 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

VenueEBioMedicine · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia
FundersMinistry of Health, British ColumbiaGenome British Columbia
KeywordsTMPRSS2Viral loadBiologyVirologyGene expressionReverse transcription polymerase chain reactionPopulationReverse transcriptaseGeneVirusImmunologyMedicineCoronavirus disease 2019 (COVID-19)Internal medicinePolymerase chain reactionGeneticsDisease

Abstract

fetched live from OpenAlex

Background: Angiotensin converting enzyme 2 (ACE2) protein 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 transcription in people tested for COVID-19 and the relationship between ACE2 transcription and SARS-CoV-2 viral load, while adjusting for expression of: (i) the complementary protease, Transmembrane serine protease 2 (TMPRSS2), (ii) soluble ACE2, (iii) age, and (iv) biological sex. The ACE2 gene was targeted to measure expression of transmembrane and soluble transcripts. Methods: A cross-sectional study of n = 424 "participants" aged 1104 years referred for COVID-19 testing was performed in British Columbia, Canada. Patients who tested positive for COVID-19 were matched by age and biological sex to patients who tested negative. Viral load and host gene expression were assessed 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. Findings: Analysis showed no association between age and nasopharyngeal ACE2 transcription in those who tested negative for COVID-19 (P = 0092). Mean relative transcription of transmembrane (P = 000012) and soluble (P<00001) ACE2 isoforms, as well as TMPRSS2 (P<00001) was higher in COVID-19-negative participants than COVID-19 positive ones, yielding a negative correlation between targeted host gene expression and positive COVID-19 diagnosis. In bivariate analysis of COVID-19-positive participants, transcription of transmembrane ACE2 positively correlated with SARS-CoV-2 viral RNA load (B = 049, R 2 =014, P<00001), transcription of soluble ACE2 negatively correlated (B= -085, R 2 = 026, P<00001), and no correlation was found with TMPRSS2 transcription (B= -0042, R 2 =<010, P = 069). Multivariable analysis showed that the greatest viral RNA loads were observed in participants with high transmembrane ACE2 transcription (B= 089, 95%CI: [059 to 118]), while transcription of the soluble isoform appears to protect against high viral RNA load in the upper respiratory tract (B= -0099, 95%CI: [-018 to -0022]). Interpretation: Nasopharyngeal ACE2 transcription plays a dual, contrasting role in SARS-CoV-2 infection of the upper respiratory tract. Transcription of the transmembrane ACE2 isoform positively correlates, while transcription of the soluble isoform negatively correlates with viral RNA load after adjusting for age, biological sex, and transcription of TMPRSS2.

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)0.002
metaresearch head score (Gemma)0.038
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.382
Teacher spread0.338 · 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 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

Citations28
Published2021
Admission routes3
Has abstractyes

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