Seroprevalence of Immunoglobulin M and G Antibodies Against SARS-CoV-2 in China

Xin Xu; Jian Sun; Sheng Nie; Huiyuan Li; Yaozhong Kong; Min Liang; Jinlin Hou; Xianzhong Huang; Dongfeng Li; Teng Ma; Jiaqing Peng; Shikui Gao; Yong Shao; Hong Zhu; Johnson Yiu Nam Lau; Guangyu Wang; Chunbao Xie; Li Jiang; Aiping Huang; Zhenglin Yang; Kang Zhang; Fan Fan Hou

Highlights

  • This research highlights the significant prevalence of SARS-CoV-2 infection, providing insights into its epidemiology, contagiousness, and immunity aspects in various populations.
  • The study uniquely observed an early and higher IgG response in COVID-19 patients, challenging the conventional role of IgM as an early infection marker.
  • It involved a diverse participant pool from Wuhan, including healthcare workers, their families, and other community members, offering comprehensive data on seroprevalence and antibody response timelines.

Summary

A pioneering serological survey conducted in China offers valuable insights into the prevalence of asymptomatic or subclinical SARS-CoV-2 infection, which is key to understanding the true scope of the COVID-19 pandemic. The study encompassed a large sample size of 17,368 individuals from diverse geographic regions, providing a comprehensive overview of the virus’s spread across different demographics.

One of the study’s significant findings is that seropositivity rates for SARS-CoV-2—the virus responsible for COVID-19—vary across different areas and populations within China. Interestingly, the rates of seropositivity, which indicate previous infection, did not show significant variation between genders but were notably higher in individuals over 65. This suggests that older populations might be more susceptible to the virus, a crucial factor for public health strategies.

Furthermore, certain groups exhibited a higher prevalence of seropositivity. Healthcare workers and patients undergoing hemodialysis were among those with higher rates, underscoring the occupational and health-related risks associated with the virus. This aspect of the research is particularly novel, as it highlights specific populations that require more focused protective measures.

The study also delved into the challenges of detecting SARS-CoV-2 infection, especially the limitations posed by the timing of sample collection. If samples are collected outside the optimal antibody response window, it could result in false negatives. This finding is crucial for improving testing strategies and ensuring more accurate virus detection.

However, the study is not without its limitations. Non-random sampling and potential sampling bias might have influenced the results, and the sensitivity of the serological test varied depending on the time elapsed since disease onset. These factors could lead to an underestimation of the actual prevalence rate of the infection. Additionally, the study did not evaluate the dynamic changes in antibody titers over time, which means that long-term follow-up is necessary to fully understand the value of serology markers in estimating the cumulative attack rate of the virus.

In conclusion, this study is a significant step forward in understanding the spread of COVID-19, particularly in asymptomatic or subclinical cases. Its findings emphasize the need for further research in China and other regions to ascertain the generalizability of these results and to track the increasing rate of seroprevalence during the pandemic. Serologic surveillance is a potentially more accurate method for measuring the overall viral attack rate, especially in the initial stages of the SARS-CoV-2 infection.

X. Xu et al., “Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China,” Nat Med, vol. 26, no. 8, pp. 1193–1195, Aug. 2020, doi: .

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