Department of Immunology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK.
School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.
Sci Rep. 2019 May 10;9(1):7239. doi: 10.1038/s41598-019-43196-5.
Common variable immune deficiency (CVID) is a primary immunodeficiency disease, characterized by hypogammaglobulinemia, recurrent infections and various complications. The clinical heterogeneity of CVID has hindered identification of an underlying immune defect; diagnosis relies on clinical judgement, alongside evidence-based criteria. The lack of pathognomonic clinical or laboratory features leads to average diagnostic delays of 5 years or more from the onset. Vibrational spectroscopic techniques such as Fourier-transform infrared (FTIR) spectroscopy have recently gained increasing clinical importance, being rapid-, non-invasive and inexpensive methods to obtain information on the content of biological samples. This has led us to apply FTIR spectroscopy to the investigation of blood samples from a cohort of CVID patients; revealing spectral features capable of stratifying CVID patients from healthy controls with sensitivities and specificities of 97% and 93%, respectively for serum, and 94% and 95%, respectively for plasma. Furthermore we identified several discriminating spectral biomarkers; wavenumbers in regions indicative of nucleic acids (984 cm, 1053 cm, 1084 cm, 1115 cm, 1528 cm, 1639 cm), and a collagen-associated biomarker (1528 cm), which may represent future candidate biomarkers and provide new knowledge on the aetiology of CVID. This proof-of-concept study provides a basis for developing a novel diagnostic tool for CVID.
普通变异型免疫缺陷病(CVID)是一种原发性免疫缺陷病,其特征为低丙种球蛋白血症、反复感染和各种并发症。CVID 的临床异质性阻碍了潜在免疫缺陷的识别;诊断依赖于临床判断,以及循证标准。缺乏特征性的临床或实验室特征导致从发病到确诊的平均延迟时间为 5 年或更长。振动光谱技术,如傅里叶变换红外(FTIR)光谱,最近在临床上越来越重要,是一种快速、非侵入性和廉价的方法,可以获取生物样本内容的信息。这促使我们将 FTIR 光谱应用于 CVID 患者队列的血液样本研究;揭示了能够将 CVID 患者与健康对照者分层的光谱特征,血清的灵敏度和特异性分别为 97%和 93%,血浆的灵敏度和特异性分别为 94%和 95%。此外,我们还确定了几个有区别的光谱生物标志物;在指示核酸的区域(984cm、1053cm、1084cm、1115cm、1528cm、1639cm)的波数,以及一个与胶原蛋白相关的生物标志物(1528cm),它们可能代表未来的候选生物标志物,并为 CVID 的发病机制提供新的知识。这项概念验证研究为开发 CVID 的新型诊断工具提供了基础。