Fast and accurate multi-bacterial identification using cleavable and FRET-based peptide nucleic acid probes

IF 10.5 1区 生物学 Q1 BIOPHYSICS Biosensors and Bioelectronics Pub Date : 2025-03-01 Epub Date: 2024-11-22 DOI:10.1016/j.bios.2024.116950
Sungho Kim , Hwi Hyun , Jae-Kyeong Im , Min Seok Lee , Hwasoo Koh , Donghoon Kang , Si-Hyeong Nho , Joo H. Kang , Taejoon Kwon , Hajin Kim
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Abstract

Fast and accurate identification of pathogenic microbes in patient samples is crucial for the timely treatment of acute infectious diseases such as sepsis. The fluorescence in situ hybridization (FISH) technique allows the rapid detection and identification of microbes based on their variation in genomic sequence without time-consuming culturing or sequencing. However, the recent explosion of microbial genomic data has made it challenging to design an appropriate set of probes for microbial mixtures. We developed a novel set of peptide nucleic acid (PNA)-based FISH probes with optimal target specificity by analyzing the variations in 16S ribosomal RNA sequence across all bacterial species. Owing to their superior penetration into bacteria and higher mismatch sensitivity, the PNA probes distinguished seven bacterial species commonly observed in bacteremia with 96–99.9% accuracy using our optimized FISH procedure. Detection based on Förster resonance energy transfer (FRET) between pairs of adjacent binding PNA probes eliminated crosstalk between species. Rapid sequential species identification was implemented, using chemically cleavable fluorophores, without compromising detection accuracy. Owing to their outstanding accuracy and enhanced speed, this set of techniques shows great potential for clinical use.
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使用可切割和基于fret的肽核酸探针快速准确地鉴定多细菌。
快速、准确地鉴定患者标本中的病原微生物,对于脓毒症等急性感染性疾病的及时治疗至关重要。荧光原位杂交(FISH)技术允许根据微生物基因组序列的变化快速检测和鉴定微生物,而无需耗时的培养或测序。然而,最近微生物基因组数据的爆炸使得设计一套合适的微生物混合物探针具有挑战性。我们通过分析所有细菌种类中16S核糖体RNA序列的变化,开发了一套新的基于肽核酸(PNA)的FISH探针,具有最佳的靶标特异性。由于PNA探针对细菌的穿透能力和更高的错配敏感性,使用优化的FISH程序,PNA探针区分了菌血症中常见的7种细菌,准确率为96-99.9%。基于相邻结合PNA探针对之间Förster共振能量转移(FRET)的检测消除了物种之间的串扰。使用化学可切割的荧光团,在不影响检测准确性的情况下,实现了快速序列物种鉴定。由于其出色的准确性和提高的速度,这套技术显示出巨大的临床应用潜力。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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