Demographic and Clinical Factors Associated With SARS-CoV-2 Anti-Nucleocapsid Antibody Response Among Previously Infected US Adults: The C4R Study - Report - MDSpire

Demographic and Clinical Factors Associated With SARS-CoV-2 Anti-Nucleocapsid Antibody Response Among Previously Infected US Adults: The C4R Study

  • By

  • Ryan T Demmer

  • Chaoqi Wu

  • John S Kim

  • Yifei Sun

  • Pallavi Balte

  • Mary Cushman

  • Rebekah Boyle

  • Russell P Tracy

  • Linda M Styer

  • Taison D Bell

  • Michaela R Anderson

  • Norrina B Allen

  • Pamela J Schreiner

  • Russell Bowler

  • David A Schwartz

  • Joyce S Lee

  • Vanessa Xanthakis

  • Jean M Rock

  • Rachel Bievenue

  • Amber Pirzada

  • Margaret Doyle

  • Elizabeth A Regan

  • Barry J Make

  • Alka M Kanaya

  • Namratha R Kandula

  • Sally E Wenzel

  • Josef Coresh

  • Carmen R Isasi

  • Laura M Raffield

  • Mitchell S V Elkind

  • Virginia J Howard

  • Victor E Ortega

  • Prescott Woodruff

  • Shelley A Cole

  • Joel M Henderson

  • Nicholas J Mantis

  • Elizabeth C Oelsner

  • March 20, 2025

  • 0 min

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Factors Influencing Anti-Nucleocapsid Antibody Responses to SARS-CoV-2 Infection

Overview

This study analyzed anti-nucleocapsid (anti-N) antibody responses in 1419 US adults with prior SARS-CoV-2 infection, revealing that antibody reactivity peaks at 4 months post-infection and declines significantly by 12 months. Key factors associated with higher anti-N responses included older age, Hispanic or American Indian/Alaskan Native ethnicity, lower socioeconomic status, former smoking, and higher anti-spike antibody levels, while vaccination and Asian race were linked to lower anti-N reactivity.

Background

COVID-19 remains a leading cause of death despite vaccination efforts, with ongoing challenges posed by SARS-CoV-2 variants. Serological studies of adaptive immune responses, particularly anti-nucleocapsid antibodies which arise only from natural infection, provide critical insights for identifying individuals at risk for adverse outcomes. Prior research on anti-N responses has been limited by small sample sizes, lack of diversity, and incomplete data on vaccination and comorbidities. Understanding anti-N antibody dynamics and correlates is essential for improving clinical classification and surveillance of SARS-CoV-2 infection.

Data Highlights

Time Since InfectionProportion Anti-N Reactive
Up to 4 months69%
≥12 months44%

Key Findings

  • Anti-nucleocapsid antibody positivity peaked at 69% around 4 months post-infection and declined to 44% at 12 months or more.
  • Older age was associated with higher anti-N antibody responses.
  • Hispanic and American Indian/Alaskan Native participants showed higher anti-N reactivity compared to White participants; Asian participants had lower reactivity.
  • Lower income and education levels correlated with stronger anti-N antibody responses.
  • Former smokers exhibited higher anti-N antibody levels than never smokers.
  • COVID-19 vaccination, even after infection, was linked to reduced anti-N antibody reactivity; vaccine manufacturer and cardiometabolic comorbidities showed no association.

Clinical Implications

Anti-nucleocapsid antibody testing can aid in identifying prior natural SARS-CoV-2 infection but may underestimate infection history over time due to waning antibodies, especially beyond 12 months. Clinicians should consider demographic and vaccination status factors when interpreting anti-N serology results to avoid misclassification. These findings support the use of combined serological markers and patient history for more accurate COVID-19 surveillance and risk stratification.

Conclusion

This large, diverse US cohort study elucidates important demographic and clinical factors influencing anti-nucleocapsid antibody responses after SARS-CoV-2 infection, highlighting the dynamic nature of these antibodies and their implications for clinical and epidemiological applications.

References

  1. C4R Study Team 2024 -- Factors Influencing Anti-Nucleocapsid Antibody Responses to SARS-CoV-2

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