journal article·2016-08-03

Rapid and Selective Detection of Pathogenic Bacteria in Bloodstream Infections with Aptamer-Based Recognition

Haijing Shen, Jie Wang, Haoyang Liu, Zhihao Li, Fenglei Jiang, Fu-Bing Wang, Quan Yuan

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Abstract

Sepsis and bacteremia are life-threatening clinical syndromes associated with significant patient morbidity and mortality. Rapid and sensitive detection of pathogenic bacteria is the key to improve patient survival rates. Herein, we have rationally constructed a simple aptamer-based capture platform to shorten the time needed for confirmation of bacterial bloodstream infection in clinical blood samples. This capture platform is made of a mesoporous TiO2-coated magnetic nanoparticle and is modified with target aptamer. It features excellent bacterial enrichment efficiency of about 80% even at low bacterial concentrations (10-2000 CFU mL(-1)). More importantly, the bacteria can be enriched within 2 h, and the time for bacterial identification is effectively shortened in comparison to the "gold standard" in clinical diagnosis of bloodstream infection. The aptamer-based capture platform may pave a way for the detection of biomarkers and find potential applications in disease diagnosis.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques · Neonatal and Maternal Infections

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, P. R. China

Department of Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital, Wuhan University, Wuhan, P. R. China

Funding

Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China · National Natural Science Foundation of China · Ten Thousand Talents Program for Young Talents

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