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S-39-3: ENDOTHELIAL INFLAMMATION AND DYSFUNCTION INDUCED BY SARS-COV-2 SPIKE PROTEIN 1 INVOLVE ADAM17 AND INTERFERON ACTIVATION PATHWAYS

2023· article· en· W4315705510 on OpenAlexaff
Francisco J. Rios, Augusto C. Montezano, Lívia L. Camargo, Rhéure Alves-Lopes, Ana Belén García Redondo, Eliju Aranday Cortes, Ana M. Briones, John McLauchlan, Rhian M. Touyz

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsISG15Interferon-stimulated geneInflammationInterferonMedicineTMPRSS2Interferon gammaEndocrinologyReceptorImmunologyCytokineMolecular biologyInternal medicineGeneBiologyInnate immune systemUbiquitinBiochemistryCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Objective: COVID19 is associated with vascular inflammation. IFN-alpha (IFNα) and IFN-lambda3 (IFNλ3) are potent cytokines produced in viral infections. Their effects involve interferon-stimulated genes (ISGs) and may influence expression of angiotensin-converting enzyme 2 (ACE2), the receptor for S-protein (S1P) of SARS-CoV-2. We hypothesized that S1P-induced immune/inflammatory responses in endothelial cells (EC) are mediated via IFN-activated pathways Design and methods: Human ECs were stimulated with S1P (1 μg/mL), IFNα (100ng/mL) or IFNλ3 (100IU/mL). Because ACE2, ADAM17 and TMPRSS2 are important for SARS-CoV-2 infection, we used inhibitors of ADAM17 (marimastat, 3.8 nM), ACE2 (MLN4760, 440pM), and TMPRSS2 (camostat, 50 μM). Gene and protein expression was investigated by real-time PCR and immunoblotting, respectively. Vascular function was assessed in mesenteric arteries from wild-type (WT) normotensive and hypertensive (LinA3) mice and in ISG15-deficient (ISG15KO) mice. Results: S1P increased expression of IFNα (3-fold), IFNλ3 (4-fold) and ISGs (2-fold) in EC (p < 0.05). EC responses to IFNα (ISG15: 16-fold) were greater than to IFNλ3 (ISG15: 1.7-fold) (p < 0.05). S1P increased gene expression of IL-6 (1.3-fold), TNFα (6.2-fold) and IL-1β (3.3-fold), effects that were amplified by IFNs. Only the ADAM17 inhibitor marimastat inhibited S1P effects. IFNα and IFNλ3 increase protein expression of ADAM17 (27%) and TMPRSS2 (38%). No changes were observed on ACE2 expression. This was associated with increased phosphorylation of Stat1 (134%), Stat2 (102%), ERK1/2 (42%). EC production of IL-6 was increased by IFNα (1,230pg/mL) and IFNλ3 (1,124pg/mL) vs control (591pg/mL). Nitric oxide generation and eNOS phosphorylation (Ser1177) were reduced by IFNα (40%) and IFNλ3 (40%). Vascular functional responses demonstrated that endothelium-dependent vasorelaxation (% Emax) in vessels from WT-mice stimulated with IFNα (67%) and IFNλ3 (71%) were reduced vs control (82%) (p < 0.05). Responses were not altered in vessels from ISG15KO mice. Increased contraction was observed only in vessels from hypertensive mice treated with IFNα (9.1 ± 0.5mN vs control: 7.3 ± 0.3mN) (p < 0.05). Conclusions: In ECs, S1P, IFNα and IFNλ3 increased ISG15 and IL-6 by mechanisms dependent on ADAM17. IFNs amplifies endothelial cell inflammatory responses and induced vascular dysfunction through ISG15-dependent mechanisms, with augmented effects in hypertension. Our findings demonstrate that S1P induces immune/inflammatory responses that may be important in endotheliitis associated with COVID-19. This may be especially important in the presence of cardiovascular risk factors, including hypertension.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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

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 head0.223
Teacher spread0.179 · 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 designBench or experimental
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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