Bioluminescence imaging is a breakthrough method that allows the detection of a report gene using a visible and infrared spectrum of electromagnetic radiation. Therefore, there is no need for radiolabeled markers to trace your specimen35. BLI is suitable for rodent models and other small species. It is very useful for preclinical studies because it is safer and allows several image rounds, causing minimal animal discomfort. Besides, in vivo imaging is very flexible due to the possibility of combining bioluminescence, fluorescence, and other techniques such as positron emission tomography36.
Optical imaging is ruled by optical physical properties, like absorption and scattering. All tissues absorb and scatter light of distinguished wavelengths differently37. One critical step is selecting a reporter gene without taking into account the emitted wavelength of the light produced by the chemical reaction. While a reporter gene expression level may be high in vitro in bioluminescent assays, the same levels of expression may not be achieved when progressing to the in vivo setting. In this protocol, we used red-shifted Photinus pyralis luciferase (PpyRE9H)38 codon-optimized version for trypanosomatids9, which emits light at 617 nm, one of the most suitable for in vivo studies39. Wavelengths longer than 600 nm are less absorbed and scattered by body endogenous chromophores, especially hemoglobin and melanin. Thus, red lights can be transmitted through several centimeters of tissue, allowing the photons to reach the CCD camera even from within visceral tissues39,40.
One area of concern in imaging settings is the lack of a comprehensive understanding of their function and effects. Binning, a pre-processing technique, combines the information acquired by contiguous detectors into a larger pixel. This process enhances the signal-to-noise ratio, reducing background noise and improving sensitivity. However, it decreases spatial resolution accuracy, resulting in a pixelated image41,42. This trade-off is an important consideration in your imaging strategy.
Based on the Target Product Profile and Target Candidate Profile for Chagas disease34, the proof-of-concept study is focused on sensitivity to detect T. cruzi and help establish if a new drug candidate can achieve a sterile cure (represented by lack of relapse after several immunosuppression rounds). Therefore, we execute the BLI using the highest binning factor without supersaturating the image. When the image supersaturates, a new acquisition is performed using a lower binning factor. During the analysis, a mathematical correction is applied to the images that required different binning. This way, the final data should be presented using the same binning. Table 1 demonstrates the different values obtained when distinctive binning factors were applied in the same image and ROIs.
Table 1: Influence of binning settings on the BLI quantification. Quantification of three ROIs on the image of acute model (d13) and chronic model (d118), analyzed in different binning factors. Please click here to download this Table.
Due to the current scenario of Chagas disease in the clinic, drug discovery efforts aim to completely eliminate parasites (parasitological cure)27,34. Therefore, the in vivo preclinical protocol includes approaches that overcome the limitations of BLI technical sensibility. One of the approaches is treating the mice with cyclophosphamide to decrease the immune response that controls the parasite load. Another strategy is diminishing the tissue deepness and removing layers of muscle, skin, and fur that obstruct the light path to the camera. Through the ex vivo procedure, small bioluminescent spots can be detected, revealing parasite foci below the in vivo BLI threshold, as shown in Figure 5C in ex vivo result of mouse treated by Posa.
Designing a pilot experiment to evaluate the model itself and the infection dynamics is crucial to establishing an accurate experiment for antiparasitic drug efficacy assessment. Hence, the researcher will be able to define the proper BLI settings and infection time course in advance. In an exploratory experiment, one tool that can be helpful to define the acquisition settings is the 'Autoexposure'. With this tool, the researcher establishes the priority of three settings (Exposure time, Binning, and F/Stop) to acquire the best image possible. In particular, the researcher should ensure that images are acquired within the dynamic range of the CCD camera, without supersaturation or underexposure, which can be checked through the minimum and maximum limits of the scale and the autoexposure feature (Menu Edit > Preferences > Tab Acquisition > Tab Autoexposure). In this protocol, the camera aperture was set at the maximum value (F/Stop: 1), and different exposure times and binning factors were defined for acute and chronic models. These settings give time predictability to perform different image rounds simultaneously. Considering the reporter method is based on an enzymatic reaction, both the biodistribution of the substrate into the mouse and the luciferase kinetics influence the bioluminescent signal and, thus, infection quantification (Figure 1B). Consequently, acquiring images in different moments of enzymatic kinetics introduces data variability that cannot be accounted for or corrected and impacts the total flux (photons/second) or radiance (photons/second/cm2/steradian) calculation. Besides, T. cruzi infection displays dynamic spatial positioning in mice (different areas and tissues, deepness, and parasite load). Hence, establishing a value of counts to acquire could miss weaker signal sources (low number of parasites in a certain spot deeper in the tissue) if another stronger signal's source meets the defined auto-exposure criteria.
A tricky feature of Living Image software is displaying the acquired image in an automatic color scale. There is no option to pre-set the scale to exhibit automatically a brand-new acquired image according to the selected scale values (see protocol step 6.2). This situation forces the researcher to manually change the images one by one to the chosen max and min values. As a consequence, the non-experienced and not well-trained users do not have the proper readout during the acquisition session, and they could mislead the data or lose important information at that time point. For that, the pilot experiment is beneficial.
One of the most common questions about the proof-of-concept experiment design is how to choose the treatment duration and dose. For new chemical entities, these parameters are usually defined by the compound potency and selectivity in vitro, in combination with data generated by drug metabolism and pharmacokinetics (DMPK) and tolerability studies conducted prior to testing in vivo for efficacy. In summary, after identifying compounds that are able to selectively kill the parasite inside cells, the first ADME experiments (absorption, distribution, metabolism and excretion) are performed in vitro to estimate compounds' aqueous solubility, cell permeability and metabolic stability, among other parameters. If compounds show a good balance of in vitro properties (usually defined in target candidate profiles), then these candidates are progressed to in vivo pharmacokinetics (PK) studies in healthy mice, which outline the compound exposure in the blood (and possibly in tissues as well) and provide a general idea of the tolerability at different dose levels17,34,43. Ideally, the goal of the PK assessment in most infectious diseases is to determine the feasibility to reach free plasma concentrations (corrected for plasma protein binding) that are above the EC50/EC90 concentrations44 - the effective concentration that kills or at least inhibits the growth of 50% or 90 % of parasites, respectively - for a sufficiently long period of time. If enough exposure is achieved at a certain dose level, then this regimen can used during the efficacy studies using the Chagas BLI model. For drug repositioning studies, in vitro and in vivo PK data should be available. A good start for drug reprofiling is chemical databases such as PubChem45, which provide recognized data that can be converted to mice using allometric scaling46 to estimate safe and non-toxic treatment regimens to be tested. However, that is not always the case. PK studies are still an overlooked field in academic science, and few pharma companies publish their PK results. The drug discovery science community recommends including in vivo PK assessment along with in drug efficacy assays (pharmacodynamics)47. Therefore, preclinical imaging is compatible with compound measurements simultaneously, and this associated approach enhances data robustness.
In addition, the mice's handling, weight, and health conditions are monitored throughout the entire experiment. Signs of toxicity and side effects such as hunching, shaking, loss of balance, unwillingness to move, reluctance to feed or drink, prostration, or any other abnormalities present in the group or by individual mouse conditions should be registered and reported in preclinical studies. One of the goals of optical imaging is to ensure the animals' well-being. Thus, humane endpoints should be applied in mice with pain signs described in the 'Grimace scale48. Also, mice were weighed weekly during BLI acquisition and, more often, during drug dosing and CTX treatment. Following animal welfare regulations, mice that lose more than 20% of body weight must be immediately humanely euthanized.
The T. cruzi bioluminescent model is now the state-of-the-art experimental model for the discovering and developing of new treatments for Chagas disease. A model that replicates key features of T. cruzi infection and Chagas disease49, allowing for real-time monitoring of parasitemia and differentiation of compounds with varied efficacy profiles associated with known modes-of-action. BLI is a technique that enhances assertiveness in identifying infected tissues. It enables the precise selection of infected tissues to be used in a broad range of approaches, including all classic methods already applied in T. cruzi research50,51. Additionally, it allows researchers to explore cutting-edge technologies and develop new ones33. In addition, BLI provides improvement of animal well-being and more rational use according to 3Rs principles10,35, all at once.
Several research groups focus on neglected tropical diseases are placed in countries where in vivo imaging devices are unavailable. To overcome the current scenario, new international networks like Global BioImaging and their associated consortia promote actions to provide open access to imaging core facilities and improve staff and imaging scientists' training52,53. These initiatives, along with friendly user protocols like this one, can afford conditions democratizing high-end technologies for all researchers. The implementation of this method in the preclinical drug discovery offered a solid efficacy readout and predictive value of clinical outcome facilitating drug discovery for Chagas disease.