한빛사논문
Younseong Song1, Nahyun Park1, Da Ae Jo2, Jueun Kim2, Dongeun Yong3, Jayeon Song4,5,6, Yoo Min Park2, Seok Jae Lee2, Yong Tae Kim7, Sung Gap Im1, Bong Gill Choi8*, Taejoon Kang6,9* and Kyoung G. Lee2*
1Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
2Center for Nano Bio Development, National Nanofab Center (NNFC), Daejeon 34141, Republic of Korea
3Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
4Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
5Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
6Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
7Department of Chemical Engineering & Biotechnology, Tech University of Korea, Siheung-Si 15073, Republic of Korea
8Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
9School of Pharmacy, Sungkyunkwan University (SKKU), Suwon-Si 16419, Republic of Korea
*Correspondence: Bong Gill Choi, Taejoon Kang, Kyoung G. Lee
Abstract
Sensitive and accurate capture, enrichment, and identification of drug-resistant bacteria on human skin are important for early-stage diagnosis and treatment of patients. Herein, we constructed a three-dimensional hierarchically structured polyaniline nanoweb (3D HPN) to capture, enrich, and detect drug-resistant bacteria on-site by rubbing infected skins. These unique hierarchical nanostructures enhance bacteria capture efficiency and help severely deform the surface of the bacteria entrapped on them. Therefore, 3D HPN significantly contributes to the effective and reliable recovery of drug-resistant bacteria from the infected skin and the prevention of potential secondary infection. The recovered bacteria were successfully identified by subsequent real-time polymerase chain reaction (PCR) analysis after the lysis process. The molecular analysis results based on a real-time PCR exhibit excellent sensitivity to detecting target bacteria of concentrations ranging from 102 to 107 CFU/mL without any fluorescent signal interruption. To confirm the field applicability of 3D HPN, it was tested with a drug-resistant model consisting of micropig skin similar to human skin and Klebsiella pneumoniae carbapenemase-producing carbapenem-resistant Enterobacteriaceae (KPC-CRE). The results show that the detection sensitivity of this assay is 102 CFU/mL. Therefore, 3D HPN can be extended to on-site pathogen detection systems, along with rapid molecular diagnostics through a simple method, to recover KPC-CRE from the skin.
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