Abstract
Purpose
Treatment of pediatric cancers with doxorubicin is a common and predictable cause of cardiomyopathy. Early diagnosis of treatment-induced cardiotoxicity and intervention are major determinants for the prevention of advanced disease. The onset of cardiomyopathies is often accompanied by profound changes in lipid metabolism, including an enhanced uptake of short-chain fatty acids (SCFA). Therefore, we explored the utility of 2-[18F]fluoropropionic acid ([18F]FPA), an SCFA analog, as an imaging biomarker of cardiac injury in mice exposed to doxorubicin. Procedures: Cardiotoxicity and cardiac dysfunction were induced in mice by an 8-dose regimen of doxorubicin (cumulative dose 24 mg/kg) administered over 14 days. The effects of doxorubicin exposure were assessed by measurement of heart weights, left ventricular ejection fractions, and blood cardiac troponin levels. Whole body and cardiac [18F]FPA uptakes were determined by PET and tissue gamma counting in the presence or absence of AZD3965, a pharmacological inhibitor of monocarboxylate transporter 1 (MCT1). Radiation absorbed doses were estimated using tissue time-activity concentrations.
Results
Significantly higher cardiac [18F]FPA uptake was observed in doxorubicin-treated animals. This uptake remained constant from 30 min to 120 min post-injection. Pharmacological inhibition of MCT1-mediated transport by AZD3965 selectively decreased the uptake of [18F]FPA in tissues other than the heart. Co-administration of [18F]FPA and AZD3965 enhanced the imaging contrast of the diseased heart while reducing overall exposure to radioactivity.
Conclusions
[18F]FPA, especially when co-administered with AZD3965, is a new tool for imaging changes in fatty acid metabolism occurring in response to doxorubicin-induced cardiomyopathy by PET.
Keywords: Doxorubicin, Cardiotoxicity, Positron Emission Tomography, Short-chain Fatty Acid, Fatty Acids, Metabolism, 2-[18F]Fluoropropionic Acid, Monocarboxylate, AZD3965
Introduction
A significant number of cardiovascular disease cases arise due to an earlier treatment of cancer1. The treatment of pediatric cancers with doxorubicin, while often successfully eliminating the cancer, leads to cardiac dysfunction later in life for up to 10% of cancer-free patients2,3. Timely diagnosis of this cardiotoxicity can facilitate disease-mitigating treatment and prevent onset of severe dysfunction or even failure. Thus, there is an urgent need for novel methods to detect incipient injury to the heart in cancer patients undergoing treatment.
Long-chain fatty acids (LCFA) act as the primary energy source for the heart, with glucose, lactate, short-chain fatty acids (SCFA), and ketone bodies also serving as metabolic substrates. Aberrant LCFA metabolism is a hallmark of cardiac disease, such as that induced by doxorubicin treatment4. This metabolic dysfunction results in the compensatory uptake and oxidation of SCFA5–7, such as propionic acid. Recently, 2-[18F]fluoropropionic acid ([18F]FPA) was developed to identify explanted prostate and liver cancers in mice8–11 by positron emission tomography (PET). Subsequent first-in-human [18F]FPA PET imaging of a prostate cancer patient included images of the heart where the delineation along the short and long axes confirm that [18F]FPA is taken up by this tissue12.
Despite the importance of SCFA oxidation to metabolically reprogrammed cardiomyocytes in the diseased heart, PET imaging approaches for targeting this pathway have not been pursued. We hypothesized that [18F]FPA would be taken up to a greater extent by hearts exposed to doxorubicin in a manner that is distinguishable by PET. To test this hypothesis, we investigated [18F]FPA PET as a modality for imaging overt cardiotoxicity caused by doxorubicin with a view towards applying this technique to imaging early-stage subclinical disease. Here, we report that the hearts of mice exposed to doxorubicin took up [18F]FPA to a greater extent than the hearts of healthy mice. Furthermore, we developed an optimized imaging protocol for [18F]FPA PET and showed that co-administration of the monocarboxylate transporter 1 (MCT1) inhibitor, AZD3965, increased the contrast between cardiac and non-cardiac tissues and significantly reduced the overall tissue radiation absorbed dose.
Materials and Methods
Full experimental details, including the radiosynthesis of [18F]FPA, descriptions of imaging procedures, biodistribution experiments, dosimetry calculations, blood biomarker measurements, and cardiac acyl-CoA synthetase short chain (ACSS) family activity measurements, are available in the Electronic Supplementary Materials.
Synthesis of [18F]FPA
The synthesis of [18F]FPA was carried out according to published methods, with small modifications13. Briefly, racemic [18F]FPA was synthesized in two steps from methyl-2-bromopropionate using no-carrier-added [18F]fluoride. The radiotracer was obtained in activities of up to 1.5 GBq at end-of-synthesis and formulated for injection in saline. [18F]FPA was obtained in 20–30% non-decay corrected yield and greater than 99% radiochemical purity.
Mouse Model of Doxorubicin-induced Cardiotoxicity
Ten-week-old male C57BL/6J mice (n = 22) were injected intraperitoneally with 8 × 3 mg/kg of doxorubicin over the course of two weeks, receiving a cumulative dose of 24 mg/kg. The respective controls (n = 18) were injected with saline. All animal studies were approved by the Institutional Animal Care and Use Committee at Weill Cornell Medicine.
microPET/CT Imaging Studies
Mice (n = 9–11 per group) were injected intravenously with 9.25–11.1 MBq of [18F]FPA in 100–150 μL saline containing either 5 mg/kg AZD3965 or DMSO (4–6 μL). A 60 min dynamic PET acquisition was performed beginning 30- or 60-min post-injection (p.i.) using the Siemens Inveon™ system. Cardiac uptake was determined by image-based quantification using the AMIDE software and expressed as a ratio of percent injected dose and tissue volume (%ID/cm3).
Statistical Analyses
Data illustrations and analyses were performed using the GraphPad Prism 10 software. All data are expressed as means ± S.E.M.. Statistical tests performed include independent t-tests and two-way ANOVA. Tukey post hoc tests were used for multiple comparisons between all groups and Šídák post hoc tests were used for multiple comparisons between experimental groups and their respective controls. A p-value < 0.05 was considered to be statistically significant. All n values represent individual biological replicates.
Results
Fasting does not alter cardiac uptake of [18F]FPA
2-Deoxy-2[18F]fluoro-D-glucose ([18F]FDG) PET is often preceded by a period of dietary fasting of at least 4–6 hours that is critical for some applications of cardiac diagnostic imaging14. We therefore assessed whether the cardiac and overall tissue uptake of [18F]FPA is influenced by fasting. As shown in Fig. 1, fasting does not significantly affect the uptake of [18F]FPA by tissues, although marginal decreases were seen in the brain and the gut.
AZD3965 improves image contrast for cardiac [18F]FPA PET
The uptake of SCFA, such as [18F]FPA, by the heart does not primarily rely on MCT1 as it does in other tissues7,15,16. We therefore reasoned that blocking the ingress of [18F]FPA via MCT1 in non-cardiac tissues would improve contrast in the region of the heart and reduce whole body radiation absorbed dose. Indeed, AZD3965 increased the distinction between cardiac and extra-cardiac tissues (Fig. 2A). We treated mice with three concentrations of AZD3965 (0.05 mg/kg, 0.5 mg/kg, 5 mg/kg) and determined that a dose of 5 mg/kg almost completely suppressed [18F]FPA uptake in extra-cardiac tissues without decreasing cardiac uptake. Based on time activity curves (TACs) of the hearts, livers, kidneys, and brains of mice injected with [18F]FPA and 5 mg/kg AZD3965 or [18F]FPA alone, we determined that cardiac uptake of [18F]FPA remains essentially unchanged between 30 and 90 min p.i. (Fig. 2B) in both groups. A similar trend was evident in liver and brain, although uptake in these tissues was significantly lower in the AZD3965 group than the DMSO controls (Fig. 2C,D). Kidney [18F]FPA uptake is initially increased in the AZD3965 group but rapidly clears from 30 min to 120 min p.i. (Fig. 2E). This indicates that AZD3965 promotes urinary clearance of [18F]FPA in mice. On the basis of observed trajectories, we identified the optimal window for cardiac imaging to be the interval from 30 to 90 min p.i..
AZD3965 reduces overall radiation absorbed dose
To supplement our image-based assessment of differential tissue radioactivity concentrations in the presence of AZD3965, we measured tissue activities at 2 h p.i. in a biodistribution experiment (Table 1). Dosimetry calculations based on these tissue activity data demonstrate that AZD3965 effectively reduces dose to all tissues (Table 1). This data was extrapolated to humans and translated to a 23% decrease in total body absorbed dose, resulting in a drop from 1.22×10−2 mSv/MBq to 9.45×10−3 mSv/MBq for males and from 1.47×10−2 mSv/MBq to 1.14×10−2 mSv/MBq for females (Table 2). These absorbed doses are comparable to those delivered to patients by [18F]FDG17. Our calculation assumes a voiding interval of 30 min in line with literature precedent and clinical practice18. Longer voiding intervals lead to significantly higher absorbed doses in bladder, and consequently, higher effective doses.
Table 1.
30 g Male Mouse | Tissue Activity (%ID/g) | Absorbed Dose (mSV/MBq) (assuming 2 h voiding interval) | Absorbed Dose (mSV/MBq) (assuming 30 min voiding interval | |||
---|---|---|---|---|---|---|
Target Organ | [18F]FPA | [18F]FPA + AZD3965 | [18F]FPA | [18F]FPA + AZD3965 | [18F]FPA | [18F]FPA + AZD3965 |
Brain | 5.12 ± 0.19 | 1.11 ± 0.09 | 26.8 | 13.0 | 26.8 | 13.0 |
Large Intestine | 3.75 ± 0.23 | 3.07 ± 0.24 | 13.6 | 11.9 | 13.6 | 11.0 |
Small Intestine | 3.16 ± 0.21 | 1.92 ± 0.10 | 13.6 | 11.5 | 13.6 | 10.9 |
Stomach | 1.77 ± 0.25 | 0.96 ± 0.11 | 14.2 | 11.3 | 14.2 | 11.1 |
Heart | 3.60 ± 0.21 | 2.00 ± 0.25 | 29.8 | 24.0 | 29.8 | 23.9 |
Kidneys | 3.09 ± 0.43 | 3.89 ± 0.44 | 27.4 | 30.5 | 27.4 | 30.2 |
Liver | 2.70 ± 0.30 | 1.98 ± 0.21 | 21.1 | 14.8 | 21.1 | 14.7 |
Lungs | 4.05 ± 0.27 | 1.94 ± 0.24 | 14.7 | 11.6 | 14.6 | 11.5 |
Pancreas | 1.88 ± 0.18 | 1.27 ± 0.18 | 13.9 | 11.5 | 13.9 | 11.2 |
Skeleton | 2.56 ± 0.17 | 2.29 ± 0.27 | 13.2 | 10.7 | 13.2 | 10.5 |
Spleen | 3.57 ± 0.44 | 2.75 ± 0.31 | 13.2 | 10.9 | 13.2 | 10.7 |
Testes | X | X | 13.2 | 13.1 | 13.2 | 10.6 |
Thyroid | X | X | 13.3 | 10.7 | 13.3 | 10.6 |
Urinary Bladder | X | X | 28.0 | 573.0 | 13.6 | 10.9 |
Total Body | X | X | 14.1 | 14.2 | 14.0 | 11.0 |
1. Tissue activity estimated from counts in tissues collected 2 h p.i. and expressed as percent of injected dose per gram tissue (mean ± S.E.M). Tissues labeled X were not collected.
2. Residence times calculated from average activity at each time point across all animals.
3. Tissue activity at time 0 assumed to be 0 Bq/mL. For heart, initial activity assumed to be 50% ID/g, based on total mouse volume of ~ 2 mL. Mono-exponential fit used to calculate time-integrated activity between time 0 and first data point.
4. For curves where decreasing exponential was not a good model fit, (brain, bladder, AZD heart) no additional efflux assumed, only physical decay beyond last measured timepoint.
Table 2.
Absorbed Dose with 30 min Urinary Voiding (mSV/MBq) | Human Male | Human Female | ||
---|---|---|---|---|
Target Organ | [18F]FPA | [18F]FPA + AZD3965 | [18F]FPA | [18F]FPA + AZD3965 |
Adrenals | 1.37E-02 | 1.08E-02 | 1.69E-02 | 1.32E-02 |
Brain | 1.29E-02 | 4.29E-03 | 1.58E-02 | 5.41E-03 |
Breasts | N/A | N/A | 1.24E-02 | 9.44E-03 |
Esophagus | 1.23E-02 | 9.32E-03 | 1.24E-02 | 9.44E-03 |
Eyes | 1.10E-02 | 7.87E-03 | 1.36E-02 | 9.58E-03 |
Gallbladder Wall | 1.39E-02 | 1.04E-02 | 1.65E-02 | 1.27E-02 |
Left Colon | 1.43E-02 | 1.11E-02 | 1.74E-02 | 1.36E-02 |
Small Intestine | 1.45E-02 | 1.15E-02 | 1.62E-02 | 1.28E-02 |
Stomach Wall | 1.35E-02 | 1.03E-02 | 1.66E-02 | 1.27E-02 |
Right Colon | 1.41E-02 | 1.09E-02 | 1.74E-02 | 1.33E-02 |
Rectum | 1.42E-02 | 1.22E-02 | 1.73E-02 | 1.64E-02 |
Heart | 1.53E-02 | 1.18E-02 | 1.93E-02 | 1.49E-02 |
Kidneys | 1.50E-02 | 1.66E-02 | 1.82E-02 | 2.01E-02 |
Liver | 1.07E-02 | 6.96E-03 | 1.34E-02 | 8.76E-03 |
Lungs | 1.19E-02 | 9.01E-03 | 1.50E-02 | 1.14E-02 |
Ovaries | N/A | N/A | 1.75E-02 | 1.48E-02 |
Pancreas | 1.44E-02 | 1.10E-02 | 1.75E-02 | 1.34E-02 |
Prostate | 1.40E-02 | 1.27E-02 | N/A | N/A |
Salivary Glands | 1.27E-02 | 9.14E-03 | 1.44E-02 | 1.04E-02 |
Red Marrow | 1.15E-02 | 8.86E-03 | 1.40E-02 | 1.09E-02 |
Skeleton | 1.24E-02 | 9.40E-03 | 1.39E-02 | 1.05E-02 |
Spleen | 1.33E-02 | 1.03E-02 | 1.64E-02 | 1.28E-02 |
Testes | 1.19E-02 | 9.52E-03 | N/A | N/A |
Thymus | 1.24E-02 | 9.42E-03 | 1.55E-02 | 1.18E-02 |
Thyroid | 1.25E-02 | 9.46E-03 | 1.42E-02 | 1.07E-02 |
Urinary Bladder | 1.41E-02 | 4.07E-02 | 1.50E-02 | 4.61E-02 |
Uterus | N/A | N/A | 1.73E-02 | 1.65E-02 |
Total Body | 1.22E-02 | 9.45E-03 | 1.47E-02 | 1.14E-02 |
Effective Dose | 1.01E-02 | 8.90E-03 | 1.38E-02 | 1.20E-02 |
Human TIA estimated by mass scaling of mouse TIA.
[18F]FPA PET imaging and tissue biodistribution correlates with doxorubicin-induced cardiotoxicity in mice
We confirmed that mice exhibited impaired cardiac function within 8 weeks of the completion of doxorubicin treatment by echocardiography (Fig. 3A). At this timepoint, these mice also exhibited lower body weights and heart weight to tibia length ratios (HW/TL) and elevated cardiac troponin-I levels (Fig. 3B-E). These outcomes are consistent with those found in studies describing doxorubicin-induced toxicity19,20. Another metric for assessing cardiac injury relates to the heart’s propensity for using SCFA as an alternative fuel5–7. Cardiac abstraction and metabolism of SCFA are linked to the expression and activities of ACSS enzymes21,22, and these are elevated in patients and animals experiencing heart disease6,23,24. Therefore, we assayed the activities of ACSS enzymes in the isolated hearts of these mice as an index for increased SCFA utilization. As expected, the cardiac tissues from doxorubicin-treated animals exhibited significantly elevated levels of ACSS activities (Fig. 3F). Altogether, these indices indicate biochemical, physiological, and functional changes characteristic of doxorubicin cardiotoxicity.
We imaged these mice using [18F]FPA PET and observed higher uptakes of [18F]FPA in the hearts of mice treated with doxorubicin (Fig. 4). These differences were even more visually apparent in mice co-injected with AZD3965. We derived TACs from the PET images and determined that animals treated with doxorubicin sustained significantly higher (p < 0.05) [18F]FPA signals in their hearts across all timepoints of imaging compared to their respective controls (Supplementary Fig. 1A). Moreover, these statistically significant differences were also apparent in mice co-injected with AZD3965 (Supplementary Fig. 1B). To further validate our imaging data, we performed a biodistribution study that confirmed increased [18F]FPA uptake in the hearts of doxorubicin-treated mice, with the differences even more evident in the groups of mice receiving AZD3965 as a co-injection (p < 0.05) (Supplementary Fig. 1C). [18F]FPA uptake at this timepoint was 3.60 ± 0.21%ID/g and 4.85 ± 0.25%ID/g in the untreated mice and 2.00 ± 0.25%ID/g and 4.11 ± 0.58%ID/g in the AZD3965-treated mice, respectively. Doxorubicin also increased [18F]FPA uptake in many other tissues, most notably in livers, kidneys, and brains while co-injection with AZD3965 significantly reduced (p < 0.05) [18F]FPA uptake in these off-target tissues.
Discussion
At present, the molecular imaging probes used for cardiac imaging indicate changes in myocardial perfusion25,26, ventricular structure and function27,28, and metabolism29–34. Changes in perfusion and myocardial function are associated with cardiac tissue remodeling and essentially indicate disease that is already evident by other imaging modalities35. By contrast, probes which report on changes in cardiac metabolism may be more suitable for detecting pre-symptomatic or sub-clinical disease as metabolic changes occur prior to the onset of cardiac injury5,36. Clinical cardiometabolic PET imaging is dominated by the use of [18F]FDG. [18F]FDG has the advantages of being readily available in most major hospitals and that its uptake in the heart correlates with some indices of cardiac dysfunction. Nevertheless, cardiac [18F]FDG PET imaging is subject to the potentially confounding effect of uptake of this probe by other metabolically active cells. For example, [18F]FDG, is avidly taken up by inflammatory cells and is not easily displaced from these cells. The result of this uptake pattern is decreased image sensitivity37. Moreover, the first step of glucose metabolism, which is shared by [18F]FDG, is its phosphorylation to glucose-6-phosphate. This molecule can undergo glycolysis to afford pyruvate or enter the pentose phosphate pathway. These divergent metabolic pathways may be active to different extents in the diseased heart and may explain the reports of spatial and temporal variability of [18F]FDG in hearts with cardiotoxicity38.
Agents which report on changes in fatty acid metabolism have the potential to directly assess the energetic state of the heart due to this tissue’s reliance on fatty acid oxidation for ATP. Some of the PET tracers developed for this application include [18F]fluoro-6-thia-heptadecanoic acid29,30, [11C]palmitate34, [11C]acetate31, and [11C]lactate32. Unfortunately, their imaging applications are limited either by poor retention in the heart or catabolism by other biochemical pathways which do not correlate with the incidence of cardiac disease29–34. Of the many alternative substrates used by the LCFA-deficient heart, SCFA are preferentially used as they exploit the existing mechanisms for lipid catabolism5,6. Therefore, we hypothesized that the SCFA analog, [18F]FPA, could be used as an indicator of cardiometabolic dysfunction caused by doxorubicin-induced cardiotoxicity.
We began our assessment of [18F]FPA as a cardiac imaging agent by analyzing its retention in fed and fasted states. Plasma concentrations of endogenous SCFAs may be influenced by fasting as they are predominantly sourced from the gut microbiome39. By contrast to [18F]FDG14,40, the tissue uptake of [18F]FPA is only marginally influenced by a 6 h fasting period. On this basis, we determined that fasting does not suppress cardiac uptake of [18F]FPA with the consequence that it is not required before image acquisition. These findings support the practicality of this imaging probe for assessing cardiac disease.
Our experiments in healthy mice indicate that [18F]FPA is taken up by nearly every tissue (Fig. 1), which we reasoned could diminish image contrast in the region of the heart and result in undesirable radiation doses to patients. Therefore, we enhanced the contrast to cardiac tissue by co-injecting [18F]FPA with AZD3965, an inhibitor of MCT141. We anticipated this combination would significantly reduce the uptake by non-cardiac tissues reliant on MCT1 for uptake of SCFA7,15,16. By contrast, SCFA freely enter cardiomyocytes without the need for these transporters7. The dose of AZD3965 (5 mg/kg) used to enhance cardiac image contrast may not directly translate to humans as it is several fold greater than the maximal recommended dose for patients (30 mg/70 kg)42. However, differences in the pharmacokinetics of this drug are apparent between humans and mice. For example, the therapeutic and subtoxic dose for mice is 100 mg/kg43,44. Since we suppressed background uptake of [18F]FPA at 20-fold lesser concentrations of AZD3965 in mice (Fig. 2A), it may be possible to titrate this drug for use in patients to doses substantially below 30 mg.
We tested our approach in a model of doxorubicin-induced cardiotoxicity because treatment of this condition would benefit from the identification of suitable imaging biomarkers for diagnosis and monitoring response to treatment. Cardiac dysfunction caused by doxorubicin is mechanistically and pathologically distinct from more common cardiac diseases which typically lead to cardiac hypertrophy and fibrosis35. Therefore, relying on standard physiological and anatomical markers for diagnosis may not be effective for identifying patients at risk of developing disease. [18F]FPA uptake was elevated in hearts exposed to doxorubicin and was correlated to increased activities of ACSS. This correlation suggests a mechanistic basis for the increased cardiac uptake of [18F]FPA due to doxorubicin-induced cardiac injury.
Doxorubicin induces several potentially pathological changes in mice and humans, including systemic inflammation, weight loss, and cardiotoxicity3,20. This complex mixture of changes is likely responsible for the increased uptake of [18F]FPA (Fig. 4) in blood and non-cardiac tissues. Encouragingly, co-administration of AZD3965 effectively decreased the signal due to [18F]FPA in all peripheral tissues of the doxorubicin-treated mice while maintaining cardiac uptake of [18F]FPA. Inflamed tissues are likely to use more SCFA as alternative substrates for metabolism or for promoting anti-inflammatory signaling cascades45. In this light, the ablation of doxorubicin-induced uptake of [18F]FPA in blood, bones, spleens, and tails (Supplementary Fig. 1C) may reflect inhibition of its uptake by inflammatory cells, which include myeloid populations in the bone, lymphocytes in the spleens, and a combination of both in the blood. In the tails, intravenous injections may be sufficient to stimulate activation of inflammatory cells in the blood which are already primed for activation by doxorubicin46. Doxorubicin exposure significantly increased brain uptake of [18F]FPA, but this was largely abolished by AZD3965 due to the requirement of MCT1 for permeability of SCFA through the blood brain barrier47,48. The term “chemobrain” is used to describe cognitive dysfunction that can arise during chemotherapy. Cognitive dysfunction is attributed to inflammatory and morphological changes which occur in the brain due to doxorubicin toxicity49. These events could be responsible for the increased [18F]FPA uptake in the brains of these animals and suggests a possibility for using this tracer to image brain health as it is exposed to doxorubicin. Further study is needed to determine the precise mechanisms which account for all the aforementioned changes in response to doxorubicin, but our observations suggest that AZD3965 renders [18F]FPA PET feasible even when systemic inflammation is present.
Interestingly, AZD3965 induces a progressive loss of cardiac signal beginning at 100 min p.i. which is not observed in the absence of the drug (Supplementary Fig. 1A). These decrements are proportionate in the hearts of both doxorubicin-treated and untreated controls (Supplementary Fig. 1B) and therefore do not invalidate our comparisons between these groups. The plasma half-life of AZD3965 is approximately 2.5 h44. One possible explanation for the decreasing signal is the accelerated clearance of [18F]FPA from blood by AZD3965, as decrements are also evident in other highly perfused tissues (Supplementary Fig. 1C). Nevertheless, the stable cardiac signal from 30–90 min p.i. affords a broad imaging window that can be readily implemented for clinical scans.
Although we employed a well-characterized model of doxorubicin-induced cardiotoxicity for the evaluation of cardiac [18F]FPA PET, we anticipate this imaging strategy may be useful in detecting other forms of cardiac injury. An early and pronounced shift in fatty acid metabolism is a common feature of all cardiac diseases7,50. Consequently, we plan to investigate [18F]FPA as a probe for detecting incipient cardiac failure across the spectrum of heart disease, not only the disease arising from cardiotoxicity. We anticipate that our approach will also be translatable to clinical populations. Prior human studies with [18F]FPA12 and AZD396542 in other indications confirm their safety.
One major limitation of our study is that we investigated [18F]FPA PET when cardiac dysfunction, as evidenced by decreased fractional shortening, was already evident. At this stage of disease, diagnostic imaging is possible using non-nuclear modalities and cardiac damage is irreversible. Therefore, our future work will investigate the utility of [18F]FPA PET as an early indicator of doxorubicin-induced cardiotoxicity. In addition, we found, as have others, that female C57BL/6 mice are not as susceptible to doxorubicin toxicity as males51. Although observations in clinical populations support the hypothesis that cardiometabolic changes occur similarly in men and women, we were unable to test this hypothesis in our model.
Conclusions
We developed an optimized cardiac imaging protocol for [18F]FPA PET based on the co-administration of AZD3965, an MCT1 inhibitor currently undergoing clinical evaluation, and demonstrated the suitability of this approach for imaging metabolic changes in the hearts of mice exposed to doxorubicin. As we confirmed that these mice displayed canonical features of cardiotoxicity, these results support the use of [18F]FPA and AZD3965 to image doxorubicin-induced cardiotoxicity by PET. Our future studies will be focused on applying this method for imaging other cardiac diseases which are characterized by changes in fatty acid metabolism.
Acknowledgements:
The authors wish to acknowledge the assistance of Pradeep K. Singh, Ph.D. in the optimization of [18F]FPA synthesis and the radiochemistry production team at Citigroup Biomedical Imaging Center (CBIC) at Weill Cornell Medicine for providing the fluorine-18.
Funding:
This work was partly funded by the National Cancer Institute at the National Institutes of Health (NIH) through R21CA246409–01 (awarded to J.M.K.), by the National Heart, Lung, and Blood Institute at the NIH through F32HL168948 (awarded to J.A.A.), and by the Office of The Director of the NIH under Award Number S10OD030447.
Footnotes
Conflicts of Interest:
The authors declare that they have no conflict of interest with regard to this study.
Ethical Approval:
This study followed all applicable institutional and/or national guidelines for the care and use of animals and approved by the Institutional Animal Care and Use Committee at Weill Cornell Medicine.
Contributor Information
Juan A. Azcona, Weill Cornell Medical College: Weill Cornell Medicine
Anja S. Wacker, Weill Cornell Medical College: Weill Cornell Medicine
Chul-Hee Lee, Weill Cornell Medical College: Weill Cornell Medicine.
Edward K. Fung, Weill Cornell Medical College: Weill Cornell Medicine
Thomas M. Jeitner, Weill Cornell Medical College: Weill Cornell Medicine
Onorina L. Manzo, Weill Cornell Medical College: Weill Cornell Medicine
Annarita Di Lorenzo, Weill Cornell Medical College: Weill Cornell Medicine.
John W. Babich, Weill Cornell Medical College: Weill Cornell Medicine
Alejandro Amor-Coarasa, Albert Einstein College of Medicine.
James M. Kelly, Weill Cornell Medical College: Weill Cornell Medicine
Data Availability:
All research data is available from the corresponding author upon request.
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Associated Data
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Data Availability Statement
All research data is available from the corresponding author upon request.