CRISPR技术结合等温扩增方法诊断白色念珠菌感染。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-01 Epub Date: 2024-12-21 DOI:10.1016/j.cca.2024.120106
Runde Liu, Wenxiang Ji, Min Jiang, Jilu Shen
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引用次数: 0

摘要

由于白色念珠菌是一种真菌,可引起严重感染,对人类健康构成重大威胁,因此对其进行快速检测对临床抗真菌治疗至关重要。传统的真菌诊断方法主要基于培养法。这种方法耗时费力,大约需要48-72 h,并且无法识别新出现的物种,因此不适合血液感染、败血症等危重患者。由于各种限制,其他基于抗原或核酸扩增的方法也不适合POCT诊断。因此,建立一种快速诊断念珠菌的新方法势在必行。在此,我们提出了一种新的侵入性真菌检测诊断方法。具体而言,我们将Cas12a的dna酶裂解活性与重组酶聚合酶扩增(RPA)相结合,建立了一个新的白色念珠菌特异性内部转录间隔物2 (ITS2)基因的CRISPR诊断平台。此外,为了在低资源条件下实现快速的现场检测,我们使用了具有单一目标的横向横向流动条带来可视化Cas12a单一酶解产物。我们将该平台指定为集成了RPA和CRISPR-Cas12a技术的快速分子检测工具。整个平台可以在50分钟内准确识别白色念珠菌,同时不受其他真菌或细菌的影响。平台的检出限可达102 CFU/ml。此外,这种方法还具有其他好处,包括操作简单、设置成本低、在各级医疗机构,特别是在资源贫乏地区的乡镇卫生院检测白色念珠菌的广泛适用性。
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CRISPR technology combined with isothermal amplification methods for the diagnosis of Candida albicans infection.

Since Candida albicans, a type of fungus, causes severe infections that pose a significant threat to human health, its rapid detection is critical in clinical antifungal therapy. Traditional fungal diagnostic approaches are largely based on the culture method. This method is time-consuming and laborious, taking about 48-72 h, and cannot identify emerging species, making it unsuitable for critically ill patients with bloodstream infections, sepsis, and so on. Other antigen or nucleic acid amplification-based methods were also found to be unsuitable for Point-of-Care Testing (POCT) diagnosis due to various limitations. Therefore, establishing a new approach for the rapid diagnosis of Candida spp is imperative. Herein, we proposed a novel diagnostic method for invasive fungi detection. Specifically, we created a new CRISPR diagnostic platform for Candida albicans-specific Internal Transcriptional Spacer 2 (ITS2) gene by combining the DNase cleavage activity of Cas12a with Recombinase Polymerase Amplification (RPA). Furthermore, to achieve rapid on-site detection under low-resource conditions, we used a transverse lateral flow strip with a single target to visualize the Cas12a single enzyme digestion product. We designated the platform as a rapid molecular detection tool that integrates RPA and the CRISPR-Cas12a technology. The entire platform can accurately identify Candida albicans within 50 minwhile remaining unaffected by other fungi or bacteria. Furthermore, the detection limit of the platform could reach 102 CFU/ml. Moreover, this approach offers additional benefits, including easy operation, low set-up cost, and broad applicability for Candida albicans detection across medical institutions at all levels, especially in township health centers in resource-poor regions.

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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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