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Record W4313855390 · doi:10.1093/cid/ciad004

Natural Antibodies and Severe Acute Respiratory Syndrome Coronavirus 2–Specific Antibodies in Healthy Asymptomatic Individuals

2023· editorial· en· W4313855390 on OpenAlexaff
Edward J. Steele, Reginald M. Gorczynski, Robyn A. Lindley, N. C. Wickramasinghe

Bibliographic record

VenueClinical Infectious Diseases · 2023
Typeeditorial
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAsymptomaticAntibodyMedicineCoronavirus disease 2019 (COVID-19)CoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory systemImmunologyVirologySevere acute respiratory syndrome coronavirusBetacoronavirus2019-20 coronavirus outbreakSevere acute respiratory syndromeInternal medicineDiseaseOutbreak

Abstract

fetched live from OpenAlex

To theEditor—Reports in this journal [1, 2] and others [3] have concluded with varying degrees of certainty that detection of specific immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike and coat proteins in plasma of asymptomatic healthy individuals might be indicative of prior infection. They suggest that these data are consistent with there being individuals infected in late 2019 (September–December) and early 2020, prior to the main 2020 epidemic outbreaks. Data in Apolone et al [3], referring to detection of IgG and IgM antibodies in (a small number of) asymptomatic individuals in Italy as early as September 2019, would date the appearance of coronavirus disease 2019 (COVID-19) to a time that contradicts other molecular analyses, dating the earliest rapid evolution of the virus to “the period between mid-October and mid-November 2019 as the plausible interval when the first case of SARS-CoV-2 emerged in Hubei province, China” [4]. How valid are these conclusions based on serology? In our opinion, all such claims are equivocal. In our collective experience [5–7], naturally arising antibodies at high titers (neutralizing antibodies [NAbs]; reviewed in Holodick et al [8]) are often detected in random patterns like this [1–3] in two main ways: Through continuous endogenous self-antigen stimulation and clonal selection by antigenic epitopes exposed to the normal immune system on “buried” or “masked” self-components as they age and become effete—most are B cells secreting IgM expressing germline encoded variable (V) regions [8]. How such V element specificities become germline encoded in NAbs has been considered again recently by us [9]. Some, like the well-known anti-phosphorylcholine specificity, play demonstrable roles in both protective immunity to exogenous pathogens such as Streptococcus pneumoniae and also in internal disposal of effete apoptotic cells and oxidized lipids in cardiovascular repair [8]; and Through the chance cross-stimulation and clonal selection by environmental and cross-reactive antigens on other pathogens—many of these NAbs could be both long-lived IgG and shorter half-life high-turnover IgM. In this regard the more conservative report based on IgG antibodies in a very small number of positive detections (7 of 24 079 study participants in the United States) by Althoff et al [2] is more representative of the “norm” than Apolone et al [3], who reported 111 positives out of 959 study participants in Italy. We think it most likely that the data from Apolone et al reflect “background” levels of natural IgM antibodies and some lower-frequency, cross-reactive, exogenous induced long-lived IgG. The Italian study shows a random incidence pattern across the country supporting the hypothesis conclusion that they are NAbs arising spontaneously,without prior SARS CoV-2 infection, in asymptomatic humans. While this alternative conclusion is not mentioned by these authors, we concede they may have tacitly understood this to be the case. We predict the existence of a predominantly IgM antibody reactivity pattern with lower-level IgG, as reported in Apolone et al [3] and including Basavaraju et al [1], for almost any randomly chosen antigen in plasma or serum of normal, healthy “asymptomatic” individuals.

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)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0030.001
Research integrity0.0240.020
Insufficient payload (model declined to judge)0.0050.004

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 head0.067
GPT teacher head0.441
Teacher spread0.374 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2023
Admission routes1
Has abstractno

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