Molecular epidemiology and population immunity of SARS-CoV-2 in Guangdong (2022–2023) following a pivotal shift in the pandemic

The SARS-CoV-2 Omicron variant sparked the largest wave of infections worldwide. Mainland China eased its strict COVID-19 measures in late 2022 and experienced two nationwide Omicron waves in 2023. Here, we investigated lineage distribution and virus evolution in Guangdong, China, 2022-2023 by comparing 5813 local viral genomes with the datasets from other regions of China and worldwide. Additionally, we conducted three large-scale serological surveys involving 1696 participants to measure their immune response to the BA.5 and XBB.1.9 before and after the corresponding waves. Our findings revealed the Omicron variants, mainly the BA.5.2.48 lineage, causing infections in over 90% of individuals across different age groups within a month. This rapid spread led to the establishment of widespread immunity, limiting the virus's ability to further adaptive mutation and dissemination. While similar immune responses to BA.5 were observed across all age groups after the initial wave, children aged 3 to 11 developed a stronger cross immune response to the XBB.1.9 strain, possibly explaining their lower infection rates in the following XBB.1 wave. Reinfection with Omicron XBB.1 variant triggered a more potent neutralizing immune response among older adults. These findings highlight the impact of age-specific immune responses on viral spread in potential future waves.

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Publication Details

Journal
Nature Communications
Published
2024-08-15
DOI
https://doi.org/10.1038/s41467-024-51141-y
Citations
13
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
5.06

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article

Molecular epidemiology and population immunity of SARS-CoV-2 in Guangdong (2022–2023) following a pivotal shift in the pandemic

Jianfeng He, Haiyi Yang, Mingda Yang, Jiufeng Sun et al.
13 citations
Nature Communications
SARS-CoV-2 and COVID-19 Research
5.06
article

Molecular epidemiology and population immunity of SARS-CoV-2 in Guangdong (2022–2023) following a pivotal shift in the pandemic

Jianfeng He, Haiyi Yang, Mingda Yang, Jiufeng Sun, Baisheng Li, Ying Yang, Pei Hu, Pengwei Hu, Lin Qu, Zhencui Li, Lirong Zou, Huimin Lian, Shaojian Xu, Chunyan Xie, Limei Sun, Liang Chen, Ming Qiu, Lina Yi, Huiling Zeng, Jing Lu, Jiadian Cao, Zhe Liu
article en
13 citations

Abstract

The SARS-CoV-2 Omicron variant sparked the largest wave of infections worldwide. Mainland China eased its strict COVID-19 measures in late 2022 and experienced two nationwide Omicron waves in 2023. Here, we investigated lineage distribution and virus evolution in Guangdong, China, 2022-2023 by comparing 5813 local viral genomes with the datasets from other regions of China and worldwide. Additionally, we conducted three large-scale serological surveys involving 1696 participants to measure their immune response to the BA.5 and XBB.1.9 before and after the corresponding waves. Our findings revealed the Omicron variants, mainly the BA.5.2.48 lineage, causing infections in over 90% of individuals across different age groups within a month. This rapid spread led to the establishment of widespread immunity, limiting the virus's ability to further adaptive mutation and dissemination. While similar immune responses to BA.5 were observed across all age groups after the initial wave, children aged 3 to 11 developed a stronger cross immune response to the XBB.1.9 strain, possibly explaining their lower infection rates in the following XBB.1 wave. Reinfection with Omicron XBB.1 variant triggered a more potent neutralizing immune response among older adults. These findings highlight the impact of age-specific immune responses on viral spread in potential future waves.

Nature CommunicationsVol. 15(1)
Sun Yat-sen University (CN), Jinan University (CN), Guangdong Pharmaceutical University (CN), Shenzhen Center for Disease Control and Prevention (CN), Guangdong Provincial Center for Disease Control and Prevention (CN), Shenzhen Nanshan Center for Chronic Disease Control (CN), Southern Medical University (CN)
Natural Science Foundation of Guangdong Province, Guangdong Science and Technology Department, Science and Technology Planning Project of Guangdong Province
Good health and well-being
Openalex Percentile: Top 4%
SARS-CoV-2 and COVID-19 Research
5.06
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