Infrared thermography can detect previsual bacterial growth in a laboratory setting via metabolic heat detection

Hunt, Ben; Saatchi, Reza; Lacey, Melissa M.

doi:10.1111/jam.15218

Cited by 3 publications

(2 citation statements)

References 74 publications

(101 reference statements)

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“…Hunt and colleagues demonstrated that infrared thermography could identify the existence of E. coli and Staphylococcus aureus by detecting an increase in temperature before they become visible in a solid culture. 98 When cells were exposed to UV light and later treated with diazophenol, a decrease in temperature was observed followed by an increase in heat.…”

Section: Culture-based Methodsmentioning

confidence: 99%

Progress in methods for the detection of viable Escherichia coli

Zhuang,

Gong,

Zhao

et al. 2024

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Section: Culture-based Methodsmentioning

confidence: 99%

Progress in methods for the detection of viable Escherichia coli

Zhuang,

Gong,

Zhao

et al. 2024

Analyst

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“…[2][3][4][5][6][7][8] Previous studies have revealed that three key factors including the bacterial load, temperature, and immune response affect each other during bacterial infection. 9,10 When bacterial infection occurs, the temperature of the infected organism increases, triggering a heat shock response in the body. 11,12 Bacteria secrete toxins that trigger inflammatory responses and activate immune cells.…”

Section: Introductionmentioning

confidence: 99%

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

Sheng,

Li,

et al. 2024

Bioengineering & Transla Med

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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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