In Vivo Detection of Staphylococcus aureus Infections Using Radiolabeled Antibodies Specific for Bacterial Toxins

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2024-04-18 DOI:10.1155/2024/3655327
M. I. Gonzalez, M. González-Arjona, L. Cussó, Miguel Ángel Morcillo, J. Aguilera-Correa, Jaime Esteban, M. Kestler, Daniel Calle, Carlos Cerón, Marta Cortes-Canteli, Patricia Muñoz, Emilio Bouza, Manuel Desco, Beatriz Salinas
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Abstract

Purpose The Gram-positive Staphylococcus aureus bacterium is one of the leading causes of infection in humans. The lack of specific noninvasive techniques for diagnosis of staphylococcal infection together with the severity of its associated complications support the need for new specific and selective diagnostic tools. This work presents the successful synthesis of an immunotracer that targets the α-toxin released by S. aureus. Methods [89Zr]Zr-DFO-ToxAb was synthesized based on radiolabeling an anti-α-toxin antibody with zirconium-89. The physicochemical characterization of the immunotracer was performed by high-performance liquid chromatography (HPLC), radio-thin layer chromatography (radio-TLC), and electrophoretic analysis. Its diagnostic ability was evaluated in vivo by positron emission tomography/computed tomography (PET/CT) imaging in an animal model of local infection-inflammation (active S. aureus vs. heat-killed S. aureus) and infective osteoarthritis. Results Chemical characterization of the tracer established the high radiochemical yield and purity of the tracer while maintaining antibody integrity. In vivo PET/CT image confirmed the ability of the tracer to detect active foci of S. aureus. Those results were supported by ex vivo biodistribution studies, autoradiography, and histology, which confirmed the ability of [89Zr]Zr-DFO-ToxAb to detect staphylococcal infectious foci, avoiding false-positives derived from inflammatory processes. Conclusions We have developed an immuno-PET tracer capable of detecting S. aureus infections based on a radiolabeled antibody specific for the staphylococcal alpha toxins. The in vivo assessment of [89Zr]Zr-DFO-ToxAb confirmed its ability to selectively detect staphylococcal infectious foci, allowing us to discern between infectious and inflammatory processes.
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使用放射性标记的细菌毒素特异性抗体检测金黄色葡萄球菌感染的体内情况
目的 革兰氏阳性金黄色葡萄球菌是导致人类感染的主要原因之一。由于缺乏诊断金黄色葡萄球菌感染的特异性非侵入性技术,加上其相关并发症的严重性,因此需要新的特异性和选择性诊断工具。本研究成功合成了一种针对金黄色葡萄球菌释放的α毒素的免疫示踪剂。方法 [89Zr]Zr-DFO-ToxAb 是在用锆-89 对抗α-毒素抗体进行放射性标记的基础上合成的。通过高效液相色谱法(HPLC)、放射性薄层色谱法(radio-TLC)和电泳分析对该免疫示踪剂进行了物理化学表征。通过正电子发射断层扫描/计算机断层扫描(PET/CT)成像,在局部感染-炎症(活性金黄色葡萄球菌与热处理杀死的金黄色葡萄球菌)和感染性骨关节炎动物模型中评估了该示踪剂的体内诊断能力。结果 示踪剂的化学特性确定了示踪剂的高放射化学收率和纯度,同时保持了抗体的完整性。体内 PET/CT 图像证实了示踪剂检测金黄色葡萄球菌活动病灶的能力。这些结果得到了体内外生物分布研究、自显放射学和组织学的支持,证实了[89Zr]Zr-DFO-ToxAb 能够检测到葡萄球菌感染灶,避免了炎症过程产生的假阳性。结论 我们开发出了一种能够检测金黄色葡萄球菌感染的免疫 PET 示踪剂,该示踪剂基于针对金黄色葡萄球菌α毒素的特异性放射性标记抗体。对[89Zr]Zr-DFO-ToxAb 的体内评估证实,它能够选择性地检测出葡萄球菌感染灶,使我们能够区分感染过程和炎症过程。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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