MétaCan
Menu
Back to cohort
Record W4403397237 · doi:10.1161/hyp.81.suppl_1.p380

Abstract P380: ISG15 is responsible for endothelial inflammation and vascular disfunction induced by Spike protein 1 of SARS-CoV-2.

2024· article· en· W4403397237 on OpenAlexaff
Francisco J. Rios, Augusto C. Montezano, Lívia L. Camargo, Rhéure Alves-Lopes, Ana González García, Elihú Aranday-Cortés, Ana M. Briones, John McLauchlan, Rhian M. Touyz

Bibliographic record

VenueHypertension · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsSpike (software development)InflammationISG15MedicineSpike ProteinCardiologyInternal medicineCoronavirus disease 2019 (COVID-19)BiologyComputer scienceGeneticsDiseaseUbiquitin

Abstract

fetched live from OpenAlex

Introduction: COVID19-associated immunopathology is associated with increased production of interferon (IFN)-alpha (IFNα) and lambda3 (IFNL3). Effects of IFNs are mediated by interferon-stimulated genes (ISGs) and 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 IFNs and may be important in vascular dysfunction associated with hypertension. Methods: Human microvascular ECs (MEC) were stimulated with S1P (1µg/mL), IFNα (100ng/mL) or IFNL3 (100IU/mL). Because ACE2, metalloproteinase domain-17 (ADAM17) and type-II transmembrane serine protease (TMPRSS2) are important for SARS-CoV-2 infection, we used inhibitors of ADAM17 (marimastat), ACE2 (MLN4760), and TMPRSS2 (camostat). Gene and protein expression was investigated by real-time PCR and immunoblotting. Vascular function was assessed in mesenteric arteries from wild-type (WT) normotensive and hypertensive mice and in ISG15KO mice. Results: MEC stimulated with S1P increased expression of IFNα (3-fold), IFNL3 (4-fold) and ISGs (2-fold) (p<0.05). IFNα and IFNλ3 increased protein expression of TMPRSS2 and ADAM17, but not ACE2. MEC exhibited higher responses to IFNα (ISG15: 16-fold) than to IFNL3 (ISG15: 1.7-fold) (p<0.05). ISG15 was also increased by S1P, effects that were enhanced by MLN4760 (2-fold) and reduced by marimastat (50%). S1P increased IL-6 mRNA (1.3-fold), TNFα (6.2-fold) and IL-1β (3.3-fold). These responses were increased by by IFNs. IL-6 was increased by IFNα (1,230pg/mL) and IFNL3 (1,124pg/mL) vs control (591pg/mL). This was associated with increased phosphorylation of Stat1 (134%), Stat2 (102%), ERK1/2 (42%). Nitric oxide production and eNOS phosphorylation (Ser1177) were reduced by IFNα and (40%) and IFNL3 (40%). Reduced endothelium-relaxation maximal response (%Emax) was observed in vessels from WT-mice stimulated with IFNα (67%) and IFNL3 (71%) vs control (82%) (p<0.05) but not 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 IFNL3 increased ISG15 and IL-6, processes that involve ADAM17 and are independent on ACE2. Inflammation induced by S1P was amplified by IFNs. IFNs induce vascular dysfunction through ISG15-dependent mechanisms, with augmented effects in 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 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 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 score0.028
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHypertensionSame topicBiomarkers in Disease MechanismsFrench-language works237,207