Development of an enzyme-linked phage receptor-binding protein assay (ELPRA) based on a novel biorecognition molecule- receptor-binding protein Gp130 of Pseudomonas aeruginosa bacteriophage Henu5

IF 3.4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Yu Ning , Tieshan Teng , Xuehan Wu , Menglu Wang , Xin Jiao , Jinjuan Qiao
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引用次数: 0

Abstract

Pseudomonas aeruginosa is a Gram-negative bacterium associated with life-threatening healthcare-associated infections (HAIs), including burn wound infections, pneumonia and sepsis. Moreover, P. aeruginosa has been considered a pathogen of global concern due to its rising antibiotic resistance. Efficient identification of P. aeruginosa would significantly benefit the containment of bacterial infections, prevent pathogen transmission, and provide orientated treatment options. The accuracy and specificity of bacterial detection are primarily dictated by the biorecognition molecules employed. Lytic bacteriophages (or phages) could specifically attach to and lyse host bacterial cells. Phages’ host specificity is typically determined by their receptor-binding proteins (RBPs), which recognize and adsorb phages to particular bacterial host receptors. This makes RBPs promising biorecognition molecules in bacterial detection. This study identified a novel RBP (Gp130) from the P. aeruginosa phage Henu5. A modified enzyme-linked phage receptor-binding protein assay (ELPRA) was developed for P. aeruginosa detection employing Gp130 as biorecognition molecules. Optimized conditions provided a calibration curve for P. aeruginosa with a range from 1.0 × 103 to 1.0 × 107 CFU/mL, with a limit of detection as low as 10 CFU/mL in phosphate-buffered saline (PBS). With VITEK 2 Compact system identification (40 positives and 21 negatives) as the gold standard, the sensitivity of ELPRA was 0.950 (0.818–0.991), and the specificity was 0.905 (0.682–0.983) within a 95 %confidence interval. Moreover, the recovery test in spiked mouse serum showed recovery rates ranging from 82.79 %to 98.17%, demonstrating the prospect of the proposed ELPRA for detecting P. aeruginosa in biological samples.

基于新型生物识别分子--铜绿假单胞菌噬菌体 Henu5 的受体结合蛋白 Gp130,开发酶联噬菌体受体结合蛋白测定法(ELPRA)
铜绿假单胞菌是一种革兰氏阴性细菌,与烧伤伤口感染、肺炎和败血症等危及生命的医疗相关感染(HAIs)有关。此外,由于铜绿假单胞菌对抗生素的耐药性不断上升,它已被视为全球关注的病原体。有效识别铜绿假单胞菌将大大有利于遏制细菌感染、防止病原体传播并提供有针对性的治疗方案。细菌检测的准确性和特异性主要取决于所使用的生物识别分子。溶解性噬菌体(或噬菌体)可以特异性地吸附并溶解宿主细菌细胞。噬菌体的宿主特异性通常由其受体结合蛋白(RBPs)决定,RBPs 可识别噬菌体并将其吸附到特定的细菌宿主受体上。这使得 RBPs 在细菌检测中成为有前途的生物识别分子。本研究从铜绿假单胞菌噬菌体 Henu5 中发现了一种新型 RBP(Gp130)。利用 Gp130 作为生物识别分子,开发了一种改良的酶联噬菌体受体结合蛋白检测法(ELPRA)来检测铜绿假单胞菌。优化的条件提供了铜绿假单胞菌的校准曲线,范围为 1.0 × 103 至 1.0 × 107 CFU/mL,检测限低至磷酸盐缓冲盐水(PBS)中的 10 CFU/mL。以 VITEKⓇ 2 Compact 系统鉴定(40 个阳性和 21 个阴性)为金标准,ELPRA 的灵敏度为 0.950(0.818-0.991),特异性为 0.905(0.682-0.983),置信区间为 95%。此外,在加标小鼠血清中进行的回收试验显示,回收率从82.79%到98.17%不等,这表明拟议的ELPRA在检测生物样本中的铜绿假单胞菌方面具有广阔的前景。
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来源期刊
Enzyme and Microbial Technology
Enzyme and Microbial Technology 生物-生物工程与应用微生物
CiteScore
7.60
自引率
5.90%
发文量
142
审稿时长
38 days
期刊介绍: Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.
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