Chikungunya virus in Thailand (2020-2023): Epidemiology, clinical features, and genomic insights.

IF 3.4 2区 医学 Q1 PARASITOLOGY
PLoS Neglected Tropical Diseases Pub Date : 2025-09-15 eCollection Date: 2025-09-01 DOI:10.1371/journal.pntd.0013548
Sarawut Khongwichit, Watchaporn Chuchaona, Sumeth Korkong, Lakkhana Wongsrisang, Thanunrat Thongmee, Yong Poovorawan
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引用次数: 0

Abstract

Chikungunya virus (CHIKV) caused significant outbreaks in Thailand during 2008-2009 and 2018-2020. Despite the COVID-19 pandemic, CHIKV continued to circulate; however, data on its epidemiological, clinical, and genetic characteristics during and after this period remains limited. This study investigated CHIKV infections in Thailand from March 2020 to December 2023. Serum samples (n = 1,264) were collected from patients with suspected CHIKV infection at 14 hospitals across five provinces in central, eastern, and northeastern Thailand. Samples were tested by RT-qPCR and IgM fluorescence immunoassay. CHIKV infection was confirmed in 50.5% (638/1,264) of cases. Infections occurred across all age groups, with the highest prevalence among individuals aged ≥56 years. Clinical symptoms significantly associated with infection included myalgia, arthralgia, rash, and conjunctivitis. Rash was more frequently in individuals aged ≤15 years and was significantly associated with lower viral loads. Arthralgia was more common among older adults and was linked to later illness onset. Myalgia was least frequently reported in younger patients. Thirty-eight complete coding sequences of our Thai CHIKV strains were analyzed in phylogenetic and time-scaled trees alongside 186 global strains and 109 ECSA-IOL strains from GenBank, respectively. Genome analysis revealed that CHIKV strains circulating in Thailand during 2020-2023 belonged to the East/Central/South African-Indian Ocean lineage (ECSA-IOL). These strains did not evolve from earlier ECSA-IOL variants that carried the E1-A226V mutation, which was previously detected in Thailand. Instead, all isolates carried E1-K211E and E2-V264A, along with E1-226A, likely introduced from the Indian subcontinent around 2016-2017. This introduction triggered a major outbreak between late 2018 and 2020, followed by sustained transmission. The 2020-2023 Thai strains exhibited high genetic similarity to those from neighboring countries, with multiple nonsynonymous mutations suggesting ongoing viral adaptation. Understanding CHIKV epidemiology, clinical features, and evolution supports improved surveillance, diagnostics, and public health interventions.

基孔肯雅病毒在泰国(2020-2023):流行病学、临床特征和基因组学见解
基孔肯雅病毒(CHIKV)在2008-2009年和2018-2020年期间在泰国造成重大疫情。尽管发生了COVID-19大流行,但CHIKV病毒仍在继续传播;然而,在此期间和之后,关于其流行病学、临床和遗传特征的数据仍然有限。本研究调查了2020年3月至2023年12月泰国的CHIKV感染情况。在泰国中部、东部和东北部5个省的14家医院收集了疑似CHIKV感染患者的血清样本(n = 1264)。采用RT-qPCR和IgM荧光免疫分析法检测样品。确诊感染病例为50.5%(638/ 1264)。感染发生在所有年龄组,年龄≥56岁的人群中患病率最高。与感染显著相关的临床症状包括肌痛、关节痛、皮疹和结膜炎。皮疹更常见于年龄≤15岁的个体,并且与较低的病毒载量显著相关。关节痛在老年人中更为常见,并且与较晚发病有关。肌痛在年轻患者中最不常见。在系统发育树和时间尺度树中分析了38个泰国CHIKV菌株的完整编码序列,与GenBank中的186个全球菌株和109个ECSA-IOL菌株分别进行了分析。基因组分析显示,2020-2023年在泰国流行的CHIKV毒株属于东/中/南非-印度洋谱系(ECSA-IOL)。这些毒株不是由先前在泰国检测到的携带E1-A226V突变的早期ECSA-IOL变体进化而来的。相反,所有分离株都携带E1-K211E和E2-V264A,以及E1-226A,可能在2016-2017年左右从印度次大陆引入。这一做法在2018年底至2020年期间引发了重大疫情,随后持续传播。2020-2023年泰国菌株与来自邻国的菌株表现出高度的遗传相似性,多个非同义突变表明病毒正在进行适应。了解CHIKV流行病学、临床特征和演变有助于改进监测、诊断和公共卫生干预措施。
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来源期刊
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases PARASITOLOGY-TROPICAL MEDICINE
自引率
10.50%
发文量
723
期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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