Pichichero Michael E, Morris Matthew C, Almudevar Anthony
Rochester General Hospital Research Institute, Center for Infectious Diseases and Immunology, USA.
University of Rochester, Rochester, NY, USA.
Biomark Appl. 2018;2(1). doi: 10.29011/2576-9588.100018. Epub 2018 Feb 7.
1.1Diagnosis of Acute Otitis Media (AOM) is challenging, resulting in frequent over diagnosis and improper prescription of antibiotics. A serum biomarker of AOM would significantly improve pediatric care for this common illness.
1.2Serum samples were studied from 197 children 6-36 months old during health, during viral Upper Respiratory Infection (URI) without middle ear involvement, and at the onset of AOM (confirmed by tympanocentesis). Serum concentrations of S100A12, IL-10, and ICAM-1 were measured by ELISA. Otopathogens were identified by culture of middle ear fluid. A predictive model for infection and causative otopathogen was developed based on density distributions of the measured cytokines.
1.3A biomarker score derived from subject age and serum concentrations of S100A12, IL-10, and ICAM-1 was significantly able to distinguish both between health and disease and between upper respiratory infections with and without middle ear involvement (AOM vs URI), and further predicted the specific causative bacterial pathogen. This biomarker could also identify recurrent OM-prone children.
1.4For the first time we show that a biomarker risk score derived from serum cytokine levels can predict the presence of bacterial AOM, the likely Otopathogen, and the recurrent OM-prone child.
1.5 AOM is a widespread pediatric infection with a substantial economic burden. Three serum cytokines can discriminate between URI and AOM, reducing over diagnosis. Prediction of responsible pathogen enables targeted antibiotic prescription.
1.1急性中耳炎(AOM)的诊断具有挑战性,导致频繁的过度诊断和抗生素的不当使用。AOM的血清生物标志物将显著改善对这种常见疾病的儿科护理。
1.2研究了197名6 - 36个月大儿童在健康状态、无中耳受累的病毒性上呼吸道感染(URI)期间以及AOM发病时(通过鼓膜穿刺术确诊)的血清样本。通过酶联免疫吸附测定法(ELISA)测量血清中S100A12、白细胞介素 - 10(IL - 10)和细胞间黏附分子 - 1(ICAM - 1)的浓度。通过中耳液培养鉴定耳病原体。基于所测细胞因子的密度分布建立了感染和致病耳病原体的预测模型。
1.3由受试者年龄以及血清中S100A12、IL - 10和ICAM - 1浓度得出的生物标志物评分能够显著区分健康与疾病状态,以及区分有无中耳受累的上呼吸道感染(AOM与URI),并进一步预测特定的致病细菌病原体。该生物标志物还可以识别易患复发性中耳炎的儿童。
1.4我们首次表明,源自血清细胞因子水平的生物标志物风险评分可以预测细菌性AOM的存在、可能的耳病原体以及易患复发性中耳炎的儿童。
1.5AOM是一种广泛存在的儿科感染,具有巨大的经济负担。三种血清细胞因子可以区分URI和AOM,减少过度诊断。对致病病原体的预测能够实现有针对性的抗生素处方。