Foddai Antonio C G, Wilhelmsson Peter, Lindgren Per-Eric, Sternberg Jeremy M, Bowman Alan S
School of Health and Life Sciences, Teesside University, Middlesbrough, Tees Valley, TS1 3BX, UK.
Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; Division of Clinical Microbiology, Laboratory Medicine, Region Jönköping County, Jönköping, Sweden.
J Immunol Methods. 2025 Jan;536:113802. doi: 10.1016/j.jim.2025.113802. Epub 2025 Jan 8.
A novel panel of peptide for serological identification of Borrelia burgdoferi sensu stricto, Borrelia garinii and Borrelia afzelii was developed and assessed in this study. The diagnostic algorithm of the novel test was initially trained testing 10 US human sera including 3 early-stage and 3 late-stage Lyme disease positive sera, 2 sera positive for Babesia and 2 sera positive for Syphilis, all purchased from a private biorepository. Findings were then corroborated testing (a) 33 additional EU follow-up positive sera from seroconverted patients bitten by ticks that tested positive for B. burgdorferi sensu stricto (No 2), Borrelia garinii (No 14), Borrelia afzelii (No 15) Borrelia valaisiana (No 2), and (b) 40 negative sera from US healthy donors. Results of preliminary US sera testing showed successful detection of IgM and IgG antibodies and correct identification of Borrelia burgdorferi sensu stricto in all the samples tested. Analysis of EU follow-up sera showed much higher sensitivity and accuracy when IgM and IgG were tested combined together rather than separately. Sensitivity and accuracy in species identification of the anti-IgM + IgG multiplex peptide ELISA was 93.5 % and 96.5 % respectively; lower test performance was observed when IgM (i.e. sensitivity = 58.1 %; correct identification = 88.8 %) and IgG testing (i.e. sensitivity = 74.1 %; correct identification = 96.5 %) were carried out separately. Overall specificity of the anti-IgM, anti-IgG and anti-IgM + IgG multiplex peptide ELISA calculated on a total number of 46 negative sera included in this study was 91.3 %, 95.6 and 93.4 %, respectively.
在本研究中,开发并评估了一组用于血清学鉴定狭义伯氏疏螺旋体、伽氏疏螺旋体和阿氏疏螺旋体的新型肽段。新型检测方法的诊断算法最初通过检测10份美国人类血清进行训练,这些血清包括3份早期和3份晚期莱姆病阳性血清、2份巴贝斯虫阳性血清和2份梅毒阳性血清,均购自一家私人生物样本库。然后,通过检测(a)另外33份来自欧盟的随访阳性血清(这些血清来自被蜱叮咬后血清转化且检测狭义伯氏疏螺旋体(2份)、伽氏疏螺旋体(14份)、阿氏疏螺旋体(15份)、瓦氏疏螺旋体(2份)呈阳性的患者)和(b)40份来自美国健康供体的阴性血清,对研究结果进行了验证。美国血清初步检测结果显示,在所检测的所有样本中均成功检测到IgM和IgG抗体,并正确鉴定出狭义伯氏疏螺旋体。对欧盟随访血清的分析表明,IgM和IgG联合检测时的灵敏度和准确性远高于单独检测。抗IgM + IgG多重肽ELISA在物种鉴定中的灵敏度和准确性分别为93.5%和96.5%;单独进行IgM检测(即灵敏度 = 58.1%;正确鉴定率 = 88.8%)和IgG检测(即灵敏度 = 74.1%;正确鉴定率 = 96.5%)时,检测性能较低。基于本研究中纳入的46份阴性血清计算,抗IgM、抗IgG和抗IgM + IgG多重肽ELISA的总体特异性分别为91.3%、95.6%和93.4%。