Cargando…

Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging

Treatment according to the dynamic changes of bacterial load in vivo is critical for preventing progression of bacterial infections. Here, we present a lead sulfide quantum dots (PbS QDs) based second near-infrared (NIR-II) fluorescence imaging strategy for bacteria detection and real-time in vivo m...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Sijia, Li, Huizhu, Liu, Chang, Chen, Mo, Sheng, Huaixuan, Huang, Mingru, Li, Yunxia, Chen, Jun, Zhang, Jian, Hao, Yuefeng, Chen, Shiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236861/
https://www.ncbi.nlm.nih.gov/pubmed/34195175
http://dx.doi.org/10.3389/fchem.2021.689017
_version_ 1783714632667496448
author Feng, Sijia
Li, Huizhu
Liu, Chang
Chen, Mo
Sheng, Huaixuan
Huang, Mingru
Li, Yunxia
Chen, Jun
Zhang, Jian
Hao, Yuefeng
Chen, Shiyi
author_facet Feng, Sijia
Li, Huizhu
Liu, Chang
Chen, Mo
Sheng, Huaixuan
Huang, Mingru
Li, Yunxia
Chen, Jun
Zhang, Jian
Hao, Yuefeng
Chen, Shiyi
author_sort Feng, Sijia
collection PubMed
description Treatment according to the dynamic changes of bacterial load in vivo is critical for preventing progression of bacterial infections. Here, we present a lead sulfide quantum dots (PbS QDs) based second near-infrared (NIR-II) fluorescence imaging strategy for bacteria detection and real-time in vivo monitoring. Four strains of bacteria were labeled with synthesized PbS QDs which showed high bacteria labeling efficiency in vitro. Then bacteria at different concentrations were injected subcutaneously on the back of male nude mice for in vivo imaging. A series of NIR-II images taken at a predetermined time manner demonstrated changing patterns of photoluminescence (PL) intensity of infected sites, dynamically imaging a changing bacterial load in real-time. A detection limit around 10(2)–10(4) CFU/ml was also achieved in vivo. Furthermore, analysis of pathology of infected sites were performed, which showed high biocompatibility of PbS QDs. Therefore, under the guidance of our developed NIR-II imaging system, real-time detection and spatiotemporal monitoring of bacterial infection in vivo can be achieved, thus facilitating anti-infection treatment under the guidance of the dynamic imaging of bacterial load in future.
format Online
Article
Text
id pubmed-8236861
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82368612021-06-29 Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging Feng, Sijia Li, Huizhu Liu, Chang Chen, Mo Sheng, Huaixuan Huang, Mingru Li, Yunxia Chen, Jun Zhang, Jian Hao, Yuefeng Chen, Shiyi Front Chem Chemistry Treatment according to the dynamic changes of bacterial load in vivo is critical for preventing progression of bacterial infections. Here, we present a lead sulfide quantum dots (PbS QDs) based second near-infrared (NIR-II) fluorescence imaging strategy for bacteria detection and real-time in vivo monitoring. Four strains of bacteria were labeled with synthesized PbS QDs which showed high bacteria labeling efficiency in vitro. Then bacteria at different concentrations were injected subcutaneously on the back of male nude mice for in vivo imaging. A series of NIR-II images taken at a predetermined time manner demonstrated changing patterns of photoluminescence (PL) intensity of infected sites, dynamically imaging a changing bacterial load in real-time. A detection limit around 10(2)–10(4) CFU/ml was also achieved in vivo. Furthermore, analysis of pathology of infected sites were performed, which showed high biocompatibility of PbS QDs. Therefore, under the guidance of our developed NIR-II imaging system, real-time detection and spatiotemporal monitoring of bacterial infection in vivo can be achieved, thus facilitating anti-infection treatment under the guidance of the dynamic imaging of bacterial load in future. Frontiers Media S.A. 2021-06-14 /pmc/articles/PMC8236861/ /pubmed/34195175 http://dx.doi.org/10.3389/fchem.2021.689017 Text en Copyright © 2021 Feng, Li, Liu, Chen, Sheng, Huang, Li, Chen, Zhang, Hao and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Feng, Sijia
Li, Huizhu
Liu, Chang
Chen, Mo
Sheng, Huaixuan
Huang, Mingru
Li, Yunxia
Chen, Jun
Zhang, Jian
Hao, Yuefeng
Chen, Shiyi
Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title_full Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title_fullStr Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title_full_unstemmed Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title_short Real-Time In Vivo Detection and Monitoring of Bacterial Infection Based on NIR-II Imaging
title_sort real-time in vivo detection and monitoring of bacterial infection based on nir-ii imaging
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236861/
https://www.ncbi.nlm.nih.gov/pubmed/34195175
http://dx.doi.org/10.3389/fchem.2021.689017
work_keys_str_mv AT fengsijia realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT lihuizhu realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT liuchang realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT chenmo realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT shenghuaixuan realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT huangmingru realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT liyunxia realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT chenjun realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT zhangjian realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT haoyuefeng realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging
AT chenshiyi realtimeinvivodetectionandmonitoringofbacterialinfectionbasedonniriiimaging