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Chikungunya outbreak (2015) in the Colombian Caribbean: Latent classes and gender differences in virus infection

机译:Chikungunya爆发(2015年)在哥伦比亚加勒比海:病毒感染的潜在课程和性别差异

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The Chikungunya virus (CHIKV) infection is a mosquito-borne virus of the Togaviridae family, part of the arbovirus group of mosquito-transmitted pathogens. CHIKV causes a severe and debilitating disease with high morbidity. In this study, we comprehensively analysed clinical data from 1160 individuals from the Colombian Caribbean, who were diagnosed with CHIKV infection during the 2014 epidemic peak and before the Zika epidemic (registered back in 2015). Further, the presence of latent classes and predictors of CHIKV susceptibility and severity of the CHIKV infection were analysed. Although it is well known that people respond differently to infection, our results showed that these differences are not arbitrary and may come from the specific orchestration of our immune response and specific genetic makeup. For example, we identified that females infected with CHIKV exhibited significant and heterogeneous phenotypic response patterns compared to men. Overall, these results inform about potential predictors and outlining strategies to study the natural history of CHIKV infection. Future studies assessing the contribution of demographic, immunological and genetic factors to symptom co-occurrence could shed some light on the severity of the clinical symptomatology and, ultimately, lead to more accurate, more efficient and differential diagnosis. These results could contribute to the development of machine learning approaches to characterizing CHIKV infection in other populations and provide more accurate and differential diagnosis.
机译:Chikungunya病毒(Chikv)感染是Togaviridae家族的蚊子病毒,部分芽虫病病原体的一部分。 Chikv致严重和衰弱的疾病,发病率高。在这项研究中,我们在2014年在2014年流行峰和Zika流行病之前被诊断出患有Chikv感染的1160人的临床资料,他们被诊断出患有Chikv感染(2015年注册)。此外,分析了Chikv易感性和Chikv感染的Chikv易感性和严重程度的存在。虽然众所周知,人们对感染不同,但我们的结果表明,这些差异不是任意的,可能来自我们免疫应答和特定遗传造的特定标康。例如,我们发现与男性相比,Chikv感染的女性表现出显着且异质的表型反应模式。总体而言,这些结果提供了潜在的预测因子和概述研究Chikv感染自然病史的概述策略。未来的研究评估人口统计,免疫学和遗传因素对症状共同发生的贡献可以在临床症状的严重程度上揭示,最终导致更准确,更高效和差异的诊断。这些结果可能有助于开发机器学习方法,以表征其他群体的Chikv感染,并提供更准确和差异的诊断。

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