• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Front Immunol . Severity-dependent IgG epitope profiling in COVID-19 reveals differential recognition of pathogen-derived antigens

tetano

Editor, Senior Moderator
Front Immunol


. 2025 Sep 3:16:1668223.
doi: 10.3389/fimmu.2025.1668223. eCollection 2025. Severity-dependent IgG epitope profiling in COVID-19 reveals differential recognition of pathogen-derived antigens

Lais Alves do Nascimento[SUP] 1 [/SUP], NicolleRakanidis Machado[SUP] 1 [/SUP], João Vitor da Silva Borges[SUP] 2 [/SUP], Beatriz Oliveira Fagundes[SUP] 1 [/SUP], Isabella Siuffi Bergamasco[SUP] 3 [/SUP], Fabio da Ressureição Sgnotto[SUP] 3 [/SUP], André Luis Lacerda Bachi[SUP] 3 [/SUP], Maria Notomi Sato[SUP] 1 [/SUP], Jefferson Russo Victor[SUP] 1 2 3 [/SUP]



Affiliations
Abstract

Background: The contribution of antibody-mediated responses to COVID - 19 outcomes remains unclear, particularly regarding cross-reactivity with unrelated pathogens. While co-infections are known to influence disease progression, the broader landscape of IgG reactivity during SARS-CoV-2 infection has not been systematically explored.
Methods: We employed a high-density peptide microarray containing 4,344 linear epitopes from 37 viruses, 27 bacteria, 17 parasites, and 8 fungi to characterize serum IgG repertoires from individuals with moderate (n = 39) or severe (n = 40) COVID - 19. Controls included pre-pandemic healthy donors and a pooled intravenous immunoglobulin (IVIg) formulation. Data analysis included intensity ranking, epitope mapping, and comparative analysis of mean signal intensities for each epitope between the COVID-Mod and COVID-Sev groups.
Results: COVID - 19 patients showed widespread IgG reactivity against diverse pathogens, with patterns differing by disease severity. Severe cases displayed broader and more intense reactivity, notably against hepatitis C virus (HCV), SARS-CoV-1, influenza A, Mycobacterium tuberculosis, and Plasmodium falciparum. Moderate cases showed preferential recognition of epitopes from HTLV-I, Neisseria meningitidis, and Trypanosoma cruzi. These findings suggest that SARS-CoV-2 infection modulates pre-existing humoral memory, possibly through epitope spreading or immune reprogramming.
Conclusions: SARS-CoV-2 infection reshapes the IgG epitope repertoire in a severity-dependent manner, extending to antigens from unrelated pathogens. This phenomenon may reflect underlying immune dysregulation or idiotype-driven interactions. Comprehensive profiling of pathogen-related IgG responses may reveal potential biomarkers of disease severity. This phenomenon may inform future investigations aimed at improving personalized management strategies for co-infected or immunocompromised patients.

Keywords: COVID-19; IgG; antibody repertoire; autoantibodies; cross-reactivity; immune modulation; pathogen epitopes; peptide microarray.

 
Back
Top Bottom