SARS-CoV-2 neutralising antibody profiles reveal variant specific antibody dynamics and regional differences in infection histories in Malawi.

IF 2.8
PLOS global public health Pub Date : 2026-10-01 eCollection Date: 2026-01-01 DOI:10.1371/journal.pgph.0007133
Mhairi J McCormack, Louis Banda, Stephen Kasenda, Ellen C Hughes, Amelia Crampin, Abena S Amoah, Jonathan M Read, Antonia Ho, Brian J Willett, James A Hay
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Abstract

Serological data provide important insights into SARS-CoV-2 transmission and immunity, particularly in regions with limited routine surveillance such as sub-Saharan Africa. However, antibody waning and boosting following reinfection or vaccination remain poorly characterised, complicating interpretation of serological measurements. Improved understanding of these dynamics is critical for accurate epidemiological inference. Modelling longitudinal serological data provides a means to quantify antibody kinetics and reconstruct infection histories. We analysed 15,679 neutralising antibody (nAb) titres from 1,675 unvaccinated, HIV-uninfected participants in urban (Lilongwe) and rural (Karonga) Malawi (February 2021-April 2022). NAb titres against ancestral B.1, Beta, Delta, and Omicron (BA.1/BA.2) viruses were measured using an HIV-based SARS-CoV-2 pseudotyped virus neutralisation assay. A multi-level Bayesian model was used to reconstruct infection histories and antibody kinetics. The model identified 429 infections (95% credible interval 417-441), including 39 (9.1%) that had not been identified by traditional seroconversion-based thresholds. Antibody levels waned rapidly, with 48% (0.403-0.560) of the acute boost remaining after three months and only 5% (0.027-0.098) after one year. Pre-Omicron infections generated stronger antibody boosts than Omicron infections. Responses varied, with individuals clustering into low and high responders. Cross-reactive responses extended across substantial antigenic distances - Omicron infections induced broader immunity. Seroincidence was higher in Lilongwe than in Karonga (0.41 vs. 0.27 infections per person per three months), driven by the early 2022 Omicron wave. Reinfections were common, particularly among adults and urban residents. SARS-CoV-2 nAb responses following infection were heterogeneous and declined rapidly. This rapid waning underscores the importance of vaccination for sustained protection, while cross-reactivity suggests only partial immunity from prior variants. Identifying reinfections is essential for understanding transmission and finding populations at higher repeat infection risk, particularly where routine surveillance is limited.

SARS-CoV-2中和抗体谱揭示了马拉维感染史的变异特异性抗体动态和区域差异。
血清学数据为了解SARS-CoV-2的传播和免疫提供了重要见解,特别是在撒哈拉以南非洲等常规监测有限的地区。然而,在再次感染或接种疫苗后,抗体减弱和增强的特征仍然很差,使血清学测量的解释复杂化。提高对这些动态的理解对于准确的流行病学推断至关重要。纵向血清学数据建模提供了一种量化抗体动力学和重建感染史的方法。我们分析了马拉维城市(利隆圭)和农村(卡隆加)的1,675名未接种疫苗、未感染艾滋病毒的参与者(2021年2月至2022年4月)的15,679个中和抗体(nAb)滴度。采用基于hiv的SARS-CoV-2假型病毒中和试验,测定了针对祖先的b1、Beta、Delta和Omicron (BA.1/BA.2)病毒的NAb效价。多层贝叶斯模型用于重建感染史和抗体动力学。该模型确定了429例感染(95%可信区间为417-441),其中包括39例(9.1%)未被传统的基于血清转化的阈值识别。抗体水平迅速下降,三个月后急性增强的48%(0.403-0.560),一年后仅剩5%(0.027-0.098)。前组粒感染比感染组粒产生更强的抗体增强。反应各不相同,个体分为低反应者和高反应者。交叉反应反应跨越大量抗原距离-组粒感染诱导更广泛的免疫。利隆圭的血清发病率高于卡隆加(每人每三个月感染0.41对0.27),这是由2022年初的欧米克朗波造成的。再感染很常见,尤其是在成年人和城市居民中。感染后的SARS-CoV-2抗体反应是异质性的,并且迅速下降。这种迅速减弱强调了疫苗接种对持续保护的重要性,而交叉反应表明仅对先前变异具有部分免疫。识别再感染对于了解传播和发现重复感染风险较高的人群至关重要,特别是在常规监测有限的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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