Using silicon-based biosensors to detect host protein signatures capable of differentiating between bacterial and viral infection at point-of-care
Using silicon-based biosensors to detect host protein signatures capable of differentiating between bacterial and viral infection at point-of-care
批准号:
2621331
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
世界卫生组织预测,到2050年,抗菌素耐药性(AMR)的上升将导致多达1000万人死亡。推动抗菌素耐药性出现的关键因素之一是缺乏能够区分细菌和病毒感染的快速诊断设备。细菌培养测试是目前的“金标准”,然而它有各种各样的缺点,比如要花很长时间才能得到阳性结果,还有样本被污染的风险。这导致临床医生要么在等待确诊时延迟抗生素治疗,要么在严重感染病例中过度开广谱抗生素。因此,发现大约50%的抗生素处方不当就不足为奇了。理想的诊断设备应该是快速的,可以在医疗点获得,具有高灵敏度和特异性,然而,当前诊断的挑战使这些特性难以实现。它们主要依靠光学检测方法,而这些方法通常需要体积庞大且昂贵的实验室设备,因此往往无法在医疗点进行检测。此外,直接检测致病病原体可能是不可能的,因为一些病原体具有难以置信的侵入性或难以接近,特别是在结核病病例中。最后,确认细菌感染并不能排除致病病毒感染,反之亦然,这是上呼吸道感染非常常见的动态。宿主蛋白特征可以绕过所有这些挑战,各种宿主蛋白特征已经在文献中被引用。Oved et al.(2015)发现了一种由c反应蛋白(CRP)、tnf相关凋亡诱导配体(TRAIL)和干扰素γ诱导蛋白-10 (IP-10)组成的3宿主蛋白特征,能够准确区分细菌和病毒感染[6]。然而,据估计,超过90%的已发现的宿主生物标志物尚未成功地应用于护理点。将宿主蛋白特征与已经利用的互补金属氧化物半导体技术(CMOS)(用于制造日常电子产品的领先技术)相结合,将使这种设备变得非常便宜和可扩展。CMOS技术还与离子敏感场效应晶体管(isfet)兼容,可用于检测由于抗原-抗体结合而导致的表面电荷变化,从而实时检测和量化宿主蛋白。研究问题:什么特异性宿主蛋白特征能够高灵敏度和特异性地区分细菌和病毒感染?-与“金标准”蛋白质检测技术相比,免疫测定固定芯片的灵敏度和特异性如何?-将一抗固定在一系列ISFET传感器上需要什么技术?-芯片上对特定蛋白质特征的检测极限是多少?目的:本项目旨在开发一种能够区分细菌和病毒感染的宿主蛋白特异性免疫测定方法。-特异性免疫分析将被转译到硅基生物传感器上,并建立芯片上的检测极限。-最后,该分析将针对临床样本进行验证,并用于提供患者感染状态的定量数据。参考文献bbb10 M. E. a . de Kraker, a . J. Stewardson和S. Harbarth,“到2050年,每年会有1000万人死于抗菌素耐药性吗?”,《公共科学图书馆·医学》,第13卷,第2号。11, p. e1002184, 2016年11月,doi: 10.1371/JOURNAL.PMED.1002184.[2]J. C. Craig等人,“诊断发热儿童严重细菌感染的临床症状和体征的准确性:15781例发热疾病的前瞻性队列研究”,英国医学杂志(临床研究编),卷340,no。2010年5月,doi: 10.1136/BMJ.C1594.[3]C.朱利亚诺,C. R.帕特尔和
英文摘要
The World Health Organisation has predicted that the rise of antimicrobial resistance (AMR) will claim up to 10 million lives by the year 2050[1]. One of the key factors driving AMR emergence is the lack of a rapid diagnostic device capable of differentiating between bacterial and viral infection. A bacterial culture test is the current "gold standard", however it presents with various draw backs such as long time-to-positive results and risk of sample contamination[2]. This leads to clinicians either delaying antibiotic treatment as they wait for confirmation or overprescribing broad spectrum antibiotics in cases of severe infection. It is then unsurprising to learn that around 50% of antibiotics are inappropriately prescribed[3]. The ideal diagnostic device would be rapid and available at point-of-care with high sensitivity and specificity, however challenges with current diagnostics make these characteristics difficult to achieve. Primarily, they mostly rely on optical-based methods of detection which usually require bulky and expensive laboratory equipment and so often makes these assays unavailable at point-of-care[4]. Additionally, direct detection of the causative pathogen may not be possible as some pathogens are incredibly invasive or inaccessible, especially in cases of tuberculosis. Finally, confirmation of a bacterial infection does not rule out a causative viral infection and vice versa which is a very common dynamic in upper respiratory infections[5].Host protein signatures could bypass all these challenges and various host protein signatures have already been cited in literature. Oved et al. (2015) discovered a 3 host protein signature composed of C-reactive protein (CRP), TNF-related apoptosis-inducing ligand (TRAIL) and Interferon gamma-induced protein-10 (IP-10) which is able to accurately differentiate between bacterial and viral infection[6]. However, it is estimated that over 90% of discovered host biomarkers have not yet been applied successfully at point-of-care[7]. Combining host protein signatures with already leveraged complementary metal-oxide semiconductor technology (CMOS) (the leading technology used to manufacture everyday electronics) would make such devices incredibly cheap and scalable[8]. CMOS technology is also compatible with ion sensitive field effect transistors (ISFETs), which can be used to detect changes in surface charge due to antigen-antibody binding and hence detect and quantify host proteins in real time.Research questions:-What specific host protein signature is able to differentiate between bacterial and viral infection with high sensitivity and specificity? -How does the sensitivity and specificity of the immunoassay immobilised on-chip compare to the "gold standard" protein detection technique?-What techniques are required to immobilise primary antibodies onto an array of ISFET sensors? -What is the on-chip limit of detection for that specific protein signature?Aims:-This project aims to develop an immunoassay specific to a host protein signature capable of differentiation between bacterial and viral infection. -The specific immunoassay will then be translated onto a silicon-based biosensor and the on-chip limit of detection will be established. -Finally, the assay will be validated against clinical samples and used to provide quantitative data around the infection state of the patient. References [1] M. E. A. de Kraker, A. J. Stewardson, and S. Harbarth, "Will 10 Million People Die a Year due to Antimicrobial Resistance by 2050?," PLOS Medicine, vol. 13, no. 11, p. e1002184, Nov. 2016, doi: 10.1371/JOURNAL.PMED.1002184.[2] J. C. Craig et al., "The accuracy of clinical symptoms and signs for the diagnosis of serious bacterial infection in young febrile children: prospective cohort study of 15 781 febrile illnesses," BMJ (Clinical research ed.), vol. 340, no. 7754, p. 1015, May 2010, doi: 10.1136/BMJ.C1594.[3] C. Giuliano, C. R. Patel, and
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