Classification of invasive bloodstream infections and Plasmodium falciparum malaria using autoantibodies as biomarkers.
Classification of invasive bloodstream infections and Plasmodium falciparum malaria using autoantibodies as biomarkers.
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DOI：
10.1038/s41598-020-78155-y
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发表时间：
2020-12-03
影响因子：
4.6
通讯作者：
Eibach D
中科院分区：
文献类型：
--
作者：
Krumkamp R;Struck NS;Lorenz E;Zimmermann M;Boahen KG;Sarpong N;Owusu-Dabo E;Pak GD;Jeon HJ;Marks F;Jacobs T;May J;Eibach D
更好地了解急性感染期间的疾病特异性生物标志物图谱可以指导开发创新的诊断方法，以区分疟疾和其他发热原因。我们调查了加纳农村一家医院收治的发热儿童（≤5岁）的自身抗体（AAb）谱。采用蛋白质微阵列（ThermoFisher公司的Protoplex Immune Response Assay）对30例细菌性血流感染儿童和35例恶性疟原虫疟疾儿童的血清样本进行分析。采用变量选择算法确定对疟疾和菌血症患者进行分类的最小单克隆抗体集。筛选过程确定了8种抗体，其中IFNGR2和FBXW5在重复模型运行中被选中。分类误差为22%，这主要是由于非伤寒沙门氏菌（NTS）诊断被错误地分类为疟疾。同样，聚类分析将NTS和疟疾患者分组在一起，但将疟疾与非NTS感染分开。当前和近期的疟疾都是NTS的危险因素，因此，需要更好地了解AAb在疾病特异性免疫反应中的功能，以支持其用于诊断目的。
A better understanding of disease-specific biomarker profiles during acute infections could guide the development of innovative diagnostic methods to differentiate between malaria and alternative causes of fever. We investigated autoantibody (AAb) profiles in febrile children (≤ 5 years) admitted to a hospital in rural Ghana. Serum samples from 30 children with a bacterial bloodstream infection and 35 children with Plasmodium falciparum malaria were analyzed using protein microarrays (Protoplex Immune Response Assay, ThermoFisher). A variable selection algorithm was applied to identify the smallest set of AAbs showing the best performance to classify malaria and bacteremia patients. The selection procedure identified 8 AAbs of which IFNGR2 and FBXW5 were selected in repeated model run. The classification error was 22%, which was mainly due to non-Typhi Salmonella (NTS) diagnoses being misclassified as malaria. Likewise, a cluster analysis grouped patients with NTS and malaria together, but separated malaria from non-NTS infections. Both current and recent malaria are a risk factor for NTS, therefore, a better understanding about the function of AAb in disease-specific immune responses is required in order to support their application for diagnostic purposes.
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影响因子：
34.3
作者：
Marks, Florian;von Kalckreuth, Vera;Wierzba, Thomas F.
通讯作者：
Wierzba, Thomas F.
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D'Acremont, Valerie;Kilowoko, Mary;Genton, Blaise
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Genton, Blaise
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Cenciarelli, C;Chiaur, DS;Pagano, M
通讯作者：
Pagano, M
影响因子：
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Guiyedi V;Bécavin C;Herbert F;Gray J;Cazenave PA;Kombila M;Crisanti A;Fesel C;Pied S
通讯作者：
Pied S
影响因子：
3
作者：
Díaz-Uriarte R;Alvarez de Andrés S
通讯作者：
Alvarez de Andrés S