Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals

Patterson, Bruce K.;Yogendra, Ram;Francisco, Edgar B.;Guevara-Coto, Jose;Long, Emily;Pise, Amruta;Osgood, Eric;Bream, John;Kreimer, Mark;Jeffers, Devon;Beaty, Christopher;Vander Heide, Richard;Mora-Rodríguez, Rodrigo A.

Description

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination symptoms, termed post-COVID-19 vaccine syndrome (PCVS), resemble post-acute sequelae of COVID-19 (PASC). Symptoms like cardiac, vascular, and neurological issues often emerge shortly after vaccination and persist for months to years, mirroring PASC. We previously showed the S1 subunit of the SARS-CoV-2 spike protein persists in CD16+ monocytes after infection, potentially driving PASC. Approved vaccines (Pfizer, Moderna, Janssen, AstraZeneca) deliver synthetic S1 to elicit immunity, suggesting a shared mechanism. We hypothesized that vaccine-derived S1 persistence in CD16+ monocytes sustains inflammation akin to PASC, contributing to PCVS. We studied 50 individuals with PCVS symptoms lasting over 30 days post-vaccination and 26 asymptomatic controls, using (1) machine learning-based immune profiling to compare cytokine signatures with PASC, (2) flow cytometry to detect S1 in CD16+ monocytes, and (3) LC-MS to confirm S1 across vaccine types. We correlated S1 persistence with symptom duration and inflammation. Prior infection was excluded via clinical history, anti-nucleocapsid antibody tests, and T-detect assays, though definitive tests are lacking. Preliminary findings suggest S1 persistence in CD16+ monocytes and an associated inflammatory profile may contribute to PCVS. Further studies are needed to confirm causality and prevalence. SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-COVID-19 Vaccine Syndrome (PCVS).

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Metrics

Dataset Index

0.9

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution Non Commercial No Derivatives 4.0 International

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

51%

Source

Open Alex

Keywords

MicrobiologyFOS: Biological sciencesNeuroscienceBiotechnologyImmunologyFOS: Clinical medicineCancerVirology

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00