The 4D movie of bacterial infection provides a useful tool to visualize and interpret large amounts of multi-modality imaging data quickly and easily. This technique facilitates the detailed analysis of how an infection spreads through an individual mouse and can be used to investigate how deletion of host or bacterial genes or particular intervention strategies effect bacterial load, distribution, and localization during a longitudinal study7. These videos also provide useful teaching aids and a means of disseminating information to the public.
There are several critical steps in this protocol that could affect the quality of the data obtained from DLIT-μCT imaging and the ability to compile a 4D video of infection. The most important part of this protocol is the successful and homogenous infection of mice with C. rodentium. It is essential that the mice used for the study are between 18-20 g and that the bacterial inoculums are freshly prepared and approximately 5 x 109 cfu, as described previously2,3. Prior to infection of the mice it is important to check that the inoculum is bioluminescent using the Spectrum CT and once the inoculum has been prepared, it must be continually homogenized before each mouse is gavaged to ensure that the mice receive similar infectious doses. The DLIT-μCT imaging of mice has been optimized so that the auto exposure function in Living Image 4.3.1 software automatically determines the optimized imaging parameters for the signal to be well above the noise. However, the auto exposure function relies on user defined settings and parameters which need to be modified as described in the procedure. Failure to do this will result in poor images with a low number of photons collected that do not result in an obvious progression in the infection, as the Spectrum CT's factory settings for autoexposure are programmed for imaging tumors expressing firefly luciferase. Reconstructions performed using 560-620 nm give the best agreement between simulated and measured data and, therefore, are the more reliable data to include in the reconstruction.
A limitation to the use of DLIT-μCT is that ionizing radiation from the μCT scan causes sub-lethal radiation damage that is cumulative over a longitudinal study18. Sub-lethal radiation exposure can weaken the immune response, cause DNA damage, and apoptosis in internal organs19. Ultimately, cumulative sub-lethal radiation damage can cause death if the LD50/30 for ionizing radiation is exceeded, which is between 5 to 7 Gy depending on the mouse strain and age of the mice used18,20,21. Although some of the molecular damage from ionizing radiation can heal, since the overarching principle is to estimate dose conservatively, this is not typically accounted for in study planning. Instead, the aim is to stay as far below these limits as possible while still accomplishing the study goals. This is particularly important in this study because of the normal immune response to the infection, the frequency of imaging, and the fact that transgenic, immuno-comprised, or heavily infected animals may be more susceptible to ionizing radiation.
When planning the experiment to generate a 4D movie of infection, it is important to consider the length of the experiment, the number of μCT scans required during this period and the LD50/30 for ionizing radiation for the mouse strain being used. Another potential limitation to DLIT-μCT is the strength of the reporter expression within the bacterial strain being used, as this will affect bacterial detection limits and imaging times. It is highly recommended that researchers use validated bacterial strains that are fully virulent, but optimized for maximal lux operon expression, as demonstrated previously for BLI2,3.
One caveat to the current design of the 4D imaging is that each movie is comprised of individual DLIT-μCT scans which have different photon scaling. This can make the images difficult to interpret if the changes to the localization of the BL foci, or its intensity are subtle, or if there is one intense BL focus surrounded by multiple weak foci. Therefore, for longitudinal visualizations, it is important to keep the color bars consistent across the time points.
The concept of a 4D movie of infection can be applied to any suitably labeled bacterial pathogen. Future development of this technique will aim to use fluorescence imaging tomography (FLIT) as well as DLIT to facilitate the investigation of host responses to infection using a combination of bioluminescent bacterial pathogens and injectable fluorescent near infrared probes to investigate host responses to infection. In addition to this, in this protocol we only describe the use of bioluminescent bacteria to create 4D movies of infection. However, in some instances it may be necessary to use fluorescent labeled bacteria, for example tagged with iRFP, so that the bioluminescence reporter can be used for investigating host genetics during infection. Importantly, the use of multi-modality imaging combining DLIT/FLIT-μCT will allow us to non-invasively investigate multiple parameters during a bacterial infection, which will contribute significantly to the reduction, refinement, and replacement of the use of animals in scientific research as outlined in the NC3R's initiative (http://www.nc3rs.org.uk/).