Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.289
- Threshold uncertainty score
- 0.403
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.339 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Circulating autoantibodies (auto-Abs) neutralizing high concentrations (10 ng/mL, in plasma diluted 1 to 10) of IFN-α and/or -ω are found in about 10% of patients with critical COVID-19 pneumonia, but not in subjects with asymptomatic infections. We detect auto-Abs neutralizing 100-fold lower, more physiological, concentrations of IFN-α and/or -ω (100 pg/mL, in 1/10 dilutions of plasma) in 13.6% of 3,595 patients with critical COVID-19, including 21% of 374 patients > 80 years, and 6.5% of 522 patients with severe COVID-19. These antibodies are also detected in 18% of the 1,124 deceased patients (aged 20 days-99 years; mean: 70 years). Moreover, another 1.3% of patients with critical COVID-19 and 0.9% of the deceased patients have auto-Abs neutralizing high concentrations of IFN-β. We also show, in a sample of 34,159 uninfected subjects from the general population, that auto-Abs neutralizing high concentrations of IFN-α and/or -ω are present in 0.18% of individuals between 18 and 69 years, 1.1% between 70 and 79 years, and 3.4% >80 years. Moreover, the proportion of subjects carrying auto-Abs neutralizing lower concentrations is greater in a subsample of 10,778 uninfected individuals: 1% of individuals <70 years, 2.3% between 70 and 80 years, and 6.3% >80 years. By contrast, auto-Abs neutralizing IFN-β do not become more frequent with age. Auto-Abs neutralizing type I IFNs predate SARS-CoV-2 infection and sharply increase in prevalence after the age of 70 years. They account for about 20% of both critical COVID-19 cases in the over-80s, and total fatal COVID-19 cases.
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.
The record
- Venue
- Science Immunology
- Topic
- SARS-CoV-2 and COVID-19 Research
- Field
- Medicine
- Canadian institutions
- McGill University Health CentreBC Children's HospitalUniversity of British Columbia
- Funders
- NIH Clinical CenterNational Institute of Dental and Craniofacial ResearchNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Human Genome Research InstituteAgencia Estatal de InvestigaciónEuropean Regional Development FundInstituto de Salud Carlos IIIBiomedical Advanced Research and Development AuthorityNational Institutes of HealthSorbonne UniversitéInstituto Colombiano de Crédito Educativo y Estudios Técnicos en el ExteriorIpsenHellenic Foundation for Research and InnovationVlaamse regeringRegione LombardiaAgentura Pro Zdravotnický Výzkum České RepublikyUniformed Services University of the Health SciencesMutuelle Générale de l'Education NationaleMedical Research CouncilTartu ÜlikoolUniversità degli Studi di BresciaKaradeniz Teknik ÜniversitesiUniversité de BordeauxUniversità degli Studi di PaviaHoward Hughes Medical InstituteMeath FoundationNHLBI Division of Intramural ResearchUniversity of Hong KongAl Jalila FoundationUniversitair Ziekenhuis GentUniversiteit GentShahid Beheshti University of Medical SciencesCSL BehringChang Gung UniversityFonds Wetenschappelijk OnderzoekUniversità degli Studi di Milano-BicoccaUniversity of New South WalesKU LeuvenFondation pour la Recherche MédicaleSemmelweis EgyetemEesti TeadusagentuurUniversidade de São PauloEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloUniversity of SharjahJeffrey Modell FoundationNational Health and Medical Research CouncilFondation du SouffleFisher Center for Alzheimer's Research FoundationAssistance publique-Hôpitaux de ParisAgence Nationale de la RechercheInstitut des maladies génétiques ImagineFudan UniversityNovo Nordisk FondenCelldex TherapeuticsMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Japan Agency for Medical Research and DevelopmentCroucher FoundationMichael Smith Health Research BCGeorgia Clinical and Translational Science AllianceYale UniversityNational Center for Advancing Translational SciencesMercatus Center, George Mason UniversityDa VolterraJPB FoundationUniversité de BourgogneChang Gung Medical FoundationFondation de FranceSanofiIrving Medical Center, Columbia UniversityFondazione IRCCS Policlinico San MatteoFondation Bettencourt SchuellerGeorge Mason UniversityMinisterio de Ciencia e InnovaciónSt. Giles Foundation
- Keywords
- AutoantibodyCoronavirus disease 2019 (COVID-19)Virology2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ImmunologyCoronavirus InfectionsNeutralizing antibodyBiologyAntibodyMedicineDiseaseOutbreakInternal medicineInfectious disease (medical specialty)
- Has abstract in OpenAlex
- yes