MétaCan
Menu
Back to cohort
Record W4396805991 · doi:10.1111/all.16157

Comparison of upper and lower airway expression of SARS‐CoV‐2 receptors in allergic asthma

2024· letter· en· W4396805991 on OpenAlexafffundabout
Maral Ranjbar, Christiane E. Whetstone, Ruth P. Cusack, Dhuha Al‐Sajee, Hafsa Omer, Nadia Alsaji, Terence Ho, MyLinh Duong, Patrick Mitchell, Imran Satia, Paul K. Keith, Yanqing Xie, Jonathan MacLean, Doron D. Sommer, Paul M. O’Byrne, Roma Sehmi, Gail M. Gauvreau

Bibliographic record

VenueAllergy · 2024
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University Medical CentrePopulation Health Research InstituteMcMaster University
FundersAstraZeneca Canada
KeywordsAsthmaAirwayMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Allergic asthmaReceptorImmunology2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)VirologyInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) which is responsible for Coronavirus disease-19 (COVID-19), infects host cells through the cell surface receptor angiotensin-converting enzyme 2 (ACE2) in conjunction with the cell surface transmembrane protease serine 2 (TMPRSS2). In asthmatic patients, mRNA expression of these receptors are shown to be down regulated in upper airways compared to the lower airways.1 Additionally, it is evident that type 2 asthma (T2) inflammation influences the expression of ACE2 and TMPRSS2.2, 3 In the present study, we examined the levels of ACE2 and TMPRSS2 in upper and lower airways and investigated the relationship to T2 inflammation through measures of alarmin cytokines IL-33 and thymic stromal lymphopoietin (TSLP). Bronchial tissue from allergic asthmatics (AA) and healthy controls (HC), and nasal tissue from AA with additional co-morbid allergic rhinitis (AR), and HC (Table S1) was immuno-stained and analyzed by immunofluorescent microscopy for protein expression of ACE2, TMPRSS2, IL-33 and TSLP. Written consent was obtained from all the participants of this study. We found significantly more cells immuno-positive for ACE2 in the bronchial tissue of AA versus bronchial tissue of HC (p <.0001), and versus nasal tissue of AR (p =.007) (Figure 1A). There were significantly more TMPRSS2 immuno-positive cells in nasal tissue of AR compared to HC (p =.002), while co-expression of ACE2 and TMPRSS2 was more frequent in AA versus HC in bronchial tissue (p =.02), but not significantly so in nasal tissue (p =.09) (Figure 1A). IL-33 displayed the same pattern as ACE2, with highest levels measured in the bronchial tissue of AA (Figure 1B). There was a significantly higher number of TSLP immuno-positive cells in bronchial versus nasal tissue, and this was a consistent finding in both the allergic (p =.02) and the HC (p =.002) (Figure 1B). This higher expression of the SARS-CoV-2 receptors as well as alarmin cytokines in allergic tissue, particularly in the bronchial tissue compared to the nasal tissue, is consistent with previous literature demonstrating primary expression of these receptors in bronchial cells, and that ongoing exposure inhaled allergens upregulates alarmin cytokines in asthmatic individuals.3 A similar pattern in the expression of alarmins and SARS-CoV-2 receptors in allergic tissue led us to investigate whether there were any relationships. When including all tissue and donors we observed a weak positive correlation between ACE2 levels and IL-33 and (r = 0.35, p =.01) but not with TSLP. However, in the smaller datasets examining upper and lower airway tissue separately we did not find any significant correlations between the expression of alarmins and ACE2/TMPRSS2 (data not shown); additional experiments are required to explore this observation. Our study is the first to report higher protein levels of ACE2 and TMPRSS2 receptors in in allergic tissue, and these findings are consistent with measurements of RNA in previous studies,1, 4 together suggesting that individuals with allergic airways disease may have a higher number of viral entry receptors in airways compared to HC. Despite these findings, recent data have shown that asthmatic patients have a lower risk of COVID-19 infection.5 These findings could be affected by a variety of factors in asthmatic patients including increased mucus production and susceptibility and exposure of S1/S2 cleavage site to proteases, but other factors such as age, sex, genetic predisposition, expression of non-functional isoform of the ACE2 receptor, and different SARS-CoV-2 variants could also play a role.6 Our staining antibodies are unable to distinguish between the long and short isoforms of the ACE2 receptor, and additional research is required to explore whether asthmatic patients possess a higher prevalence of the short isoform. Overall, further research is needed to fully understand the mechanisms underlying the lower risk of COVID-19 in asthmatic patients, which may have important implications for the management of COVID-19 in individuals with allergic airway disease. All authors contributed to the study design, acquisition or analysis of data, were involved with drafting of this manuscript, and approved the final version and are accountable for all aspects of the work. We would like to acknowledge funding from AstraZeneca Canada (ESR 20-20723) and Mitacs (IT22844). The authors have no conflict of interest related to this manuscript. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Data S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.308
Teacher spread0.284 · 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
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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueAllergySame topicAsthma and respiratory diseasesFrench-language works237,207