Synchronously in vivo real-time monitoring bacterial load and temperature with evaluating immune response to decipher bacterial infection

IF 6.1 2区 医学 Q1 ENGINEERING, BIOMEDICAL Bioengineering & Translational Medicine Pub Date : 2024-03-12 DOI:10.1002/btm2.10656
Huaixuan Sheng, Huizhu Li, Shunyao Li, Chengxuan Yu, Yueming Wang, Haichen Hu, Lu Fang, Fuchun Chen, Yanyan Lu, Xiaogang Xu, Xing Yang, Shiyi Chen, Yuefeng Hao, Yunxia Li, Sijia Feng, Jun Chen
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Abstract

Determining the precise course of bacterial infection requires abundant in vivo real-time data. Synchronous monitoring of the bacterial load, temperature, and immune response can satisfy the shortage of real-time in vivo data. Here, we conducted a study in the joint-infected mouse model to synchronously monitor the bacterial load, temperature, and immune response using the second near-infrared (NIR-II) fluorescence imaging, infrared thermography, and immune response analysis for 2 weeks. Staphylococcus aureus (S. aureus) was proved successfully labeled with glucose-conjugated quantum dots in vitro and in subcutaneous-infected model. The bacterial load indicated by NIR-II fluorescence imaging underwent a sharp drop at 1 day postinfection. At the same time, the temperature gap detected through infrared thermography synchronously brought by infection reached lowest value. Meanwhile, the flow cytometry analysis demonstrated that immune response including macrophage, neutrophil, B lymphocyte, and T lymphocyte increased to the peak at 1 day postinfection. Moreover, both M1 macrophage and M2 macrophage in the blood have an obvious change at ~ 1 day postinfection, and the change was opposite. In summary, this study not only obtained real-time and long-time in vivo data on the bacterial load, temperature gap, and immune response in the mice model of S. aureus infection, but also found that 1 day postinfection was the key time point during immune response against S. aureus infection. Our study will contribute to synchronously and precisely studying the complicated complex dynamic relationship after bacterial infection at the animal level.

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体内实时监测细菌负荷和温度,同时评估免疫反应,破解细菌感染难题
确定细菌感染的精确过程需要丰富的体内实时数据。对细菌载量、温度和免疫反应进行同步监测可以满足实时活体数据不足的问题。在此,我们在关节感染小鼠模型中进行了一项研究,利用第二次近红外(NIR-II)荧光成像、红外热成像和免疫反应分析,对细菌负荷、温度和免疫反应进行了为期两周的同步监测。金黄色葡萄球菌(S. aureus)在体外和皮下感染模型中被证明成功标记了葡萄糖结合量子点。感染后 1 天,近红外-II 荧光成像显示的细菌量急剧下降。与此同时,通过红外热成像检测到的温度差也同步达到了感染后的最低值。同时,流式细胞术分析表明,巨噬细胞、中性粒细胞、B 淋巴细胞和 T 淋巴细胞的免疫反应在感染后 1 天达到高峰。此外,血液中的 M1 巨噬细胞和 M2 巨噬细胞在感染后约 1 天均有明显变化,且变化方向相反。综上所述,本研究不仅获得了金黄色葡萄球菌感染小鼠模型体内细菌负荷、温差和免疫反应的实时、长时间数据,而且发现感染后1天是金黄色葡萄球菌感染免疫反应的关键时间点。我们的研究将有助于在动物水平上同步、精确地研究细菌感染后复杂的动态关系。
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来源期刊
Bioengineering & Translational Medicine
Bioengineering & Translational Medicine Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
8.40
自引率
4.10%
发文量
150
审稿时长
12 weeks
期刊介绍: Bioengineering & Translational Medicine, an official, peer-reviewed online open-access journal of the American Institute of Chemical Engineers (AIChE) and the Society for Biological Engineering (SBE), focuses on how chemical and biological engineering approaches drive innovative technologies and solutions that impact clinical practice and commercial healthcare products.
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