Introduction
Radiotherapy (RT) is a mainstay of cancer treatment as it reduces recurrence, improves survival, and enhances the efficacy of other treatments. Ionizing radiation (IR) exposure, whether from RT, diagnostic imaging, or accidental sources (e.g., a nuclear disaster), can cause a multitude of side effects, including secondary cancers and other iatrogenic diseases [
1‐
3]. Accidental or radiotherapeutic normal tissue injury can cause many transient or permanent alterations in both cellular and extracellular components within the irradiated field [
4]. These are particularly harmful to critical organs such as the heart. Retrospective studies of atomic bomb survivors found evidence that excess relative risk of death due to heart disease increased by 14% per Gray (Gy) of radiation absorbed, linking radiation exposure with long-term cardiac effects [
5‐
7]. Similarly, liquidators exposed to radiation in the Chernobyl exclusion zone displayed a statistically significant excess relative risk for developing cardiovascular disease [
8]. Discovery of organ-specific biomarkers will allow for early treatment prior to clinical manifestations of radiation damage.
In an analysis of breast cancer patients treated with RT, radiation was an independent risk factor for death from cardiovascular disease ten or more years after thoracic radiation [
9]. Radiation-induced heart disease (RIHD) is a well-documented side effect of thoracic irradiation during treatment of breast, lung, lymphoma, and other mediastinal tumors [
10‐
13]. Late effects of radiation-induced damage to the heart will become increasingly apparent as the population of long-term cancer survivors continues to increase. By 2022, the U.S. alone will have an estimated 18 million cancer survivors; many of them will have been treated with RT [
14,
15].
The first clinical symptom of RT-induced damage to the heart manifests as acute pericarditis between 3 and 6 months after irradiation [
16]. However, radiation-induced dysfunction of the heart, including coronary artery disease (CAD), myocardial fibrosis, cardiomyopathy, valvular disease, and arrhythmias leading to congestive heart failure may take decades to manifest [
17,
18]. Understanding the molecular mechanism behind RIHD development will help identify efficient prophylactic and mitigative treatments. Furthermore, early detection and prediction of normal tissue injury and cardiotoxicity will facilitate interventions to improve quality of life for RT patients and substantially reduce medical costs related to treatment of secondary diseases.
Radiation-induced DNA damage causes genome-wide transcriptional changes. These changes produce alterations in a wide range of cellular functions from immune response to metabolism [
19,
20]. However, prior attempts to discover markers of radiation injury to the heart have been unsuccessful. In a study of patients undergoing thoracic radiation without chemotherapy, analysis of c-reactive protein, angiogenic, and inflammatory markers in serum indicated no correlation between levels and dose of radiation [
19]. Other studies on markers of RIHD have yielded conflicting results, with no clear consensus on the value of troponin or brain natriuretic peptides (BNP) levels [
21]. One recent study indicated that peroxisome proliferator activator receptor alpha (
Ppara) may be a dose dependent marker for mitochondrial dysfunction and subsequent RIHD [
22]. However, further research is necessary to determine the utility of this marker.
The stability and organ specificity of non-coding RNAs make them attractive as diagnostic and therapeutic biomarkers [
23,
24]. Several human and mouse heart RNA expression studies have revealed deregulation of lncRNAs in response to heart damage and disease, with over 600 lncRNAs reported as differentially expressed in clinically failing hearts [
25‐
32]. Previous research has highlighted the importance of miRNAs in diseases for multiple cell types, including cardiomyocytes, endothelial cells, smooth muscle cells, and fibroblasts [
33‐
37]. However, there is limited research on understanding their role in normal tissue damage after radiation [
38‐
40]. Our lab and others have identified alterations in lncRNA and miRNA at long and short time points post-radiation both in vivo and in vitro [
41‐
44]. In a previous study, our laboratory demonstrated dose responsive upregulation in whole blood of damage induced noncoding lncRNA (
Dino), plasmacytoma variant translocation 1 (
Pvt1) and tumor protein P53 pathway corepressor 1 (
Trp53cor1) in a whole-body irradiation mouse model [
44]. The results of these studies informed the approach we used in the current investigation.
With cancer and cardiovascular disease as the two leading causes of mortality in the world, understanding the effects of RIHD from RT or accidental exposure will be critical to minimizing health consequences [
45]. In this study, we utilized whole transcriptome analysis on mouse heart tissues 48 h after whole-body doses of 1, 2, 4, 8, or 12 Gy. Understanding biological pathways that lead to RIHD development will allow for the identification of treatments to improve quality of life for individuals exposed to radiation, either therapeutically or accidentally, and provide diagnostic and/or prognostic markers of damage.
Methods
Total body irradiation of mice and sample collection
Six- to 8-week old female C57BL/6 J mice were given total-body irradiation (TBI) with X-rays using the Small Animal Radiation Research Platform (SARRP Xstrahl Ltd.). Mice were placed in plastic containers and exposed to a single surface dose of 1, 2, 4, 8, or 12 Gy at a dose rate of 1.05 Gy/min. Control mice (0 Gy) were placed in the same type of plastic container and sham irradiated. Three animals per dose were included in the study. Hearts of irradiated and control animals were harvested 48 h after TBI. Organs were snap frozen in liquid nitrogen and stored at − 80 °C until processed for RNA isolation. All animal experiments were performed at the Department of Pathology at New York University (NYU) Langone Medical Center under an approved IACUC protocol as part of a collaborative study.
RNA isolation
Samples were bathed in liquid nitrogen and pulverized into a fine powder using a mortar and pestle. Approximately 100 µg of powdered sample was lysed with 700 µl of QIAzol lysis buffer (Cat # 79306, QIAGEN) and homogenized by passing the solution through QIAshredder spin columns (Cat # 79654, QIAGEN). RNA isolation was performed using standard miRNeasy mini kit (Cat # 217004, QIAGEN) according to the manufacturer’s protocol. Quality and quantity of the RNA samples were assessed using a DeNovix DS-11 nanodrop spectrophotometer (DeNovix, DE, US) and Agilent Bioanalyzer with the RNA6000 Nano Lab Chip (Agilent Technologies, Santa Clara, CA).
Microarray analysis
Microarray analysis was performed for sham animals (0 Gy) and 1 Gy, 2 Gy, 4 Gy, 8 Gy, and 12 Gy irradiated animals. Quality assessments and microarray experiments were completed as previously reported [
46]. Samples were hybridized to Agilent Mouse GE 8 × 60 K v2 arrays for mRNA expression analysis and to Agilent Mouse miRNA 8 × 60 K v21.0 arrays (Design ID 070155) for miRNA expression analysis. Slides were washed and scanned on an Agilent SureScan Microarray Scanner. Expression values were extracted using Agilent Feature Extraction software and data were analyzed with GeneSpring GX software (Agilent Technologies).
Real time RT-qPCR analysis of mRNAs and lncRNAs
1000 ng of total RNA was reverse transcribed using RT2 First Strand Synthesis kit (Qiagen, US). Individual RT-qPCR reactions using RT2 qPCR primer assays and RT2 SYBR Green qPCR Master Mix (QIAGEN, US) were performed for the following lncRNAs:
Trp53cor1 (Assay ID No. LPM12776A),
Dino [
47] (FP- GCAATGGTGTGCCTGACTAT; RP- TTCTGGCTTCCCAGAG), Pvt1 (LPM16140A) and
Rplp0 (assay ID no. PPM03561B) in the 48 h mouse heart tissue samples. Relative expression was calculated as: 2
−dCt where dCt = Ct [test gene] − Ct [Rplp0] [
44]. Following qPCR Primer Assay were used for mRNA validation PPM03371A- Ckap-2, PPM05273A-Alas2, PPM04436C-Gdf15, PPM02901B-Cdkn1a, PPM03154A-Cx3cr1, and PPM04813A-Aplnr.
Rplp0 was used as the normalizing control in both lncRNA and mRNA PCR assays.
miRNA RT-qPCR
200 ng of total RNA was used for first-strand cDNA synthesis reactions using miRCURY LNA RT Kit (Cat. No. 339340) according to the manufacturers protocol. Reverse-transcription reaction was done at 42° for 60 min, followed by an inactivation step at 95° for 5 min. Quantitative Real-Time PCR was done using individual miRCURY LNA miRNA PCR Assays (Cat. No. 339306) for the following primers (mmu-miR-103a-3p, mmu-miR-149 3p, mmu-miR-211-3p, mmu-miR-3960, mmu-miR-6538, mmu-miR-7118-5p, mmu-miR-8101) to detect differential expression in irradiated vs. control samples. Real time PCR reactions were performed using Applied Biosystems Quant Studio Real-Time PCR machine. PCR steps included initial heat activation at 95° for 2 min followed by two step cycling: Denaturation at 95° for 10 s followed by combined annealing/extension at 56° for 60 s for 40 cycles. A melt curve analysis was performed to ensure the specificity of the corresponding RT-qPCR reactions. Fold change = 2−ddCt where ddCt = dCt (irradiated) − dCt (control); dCt = Ct (gene) − Ct (endo control: UniSp6); and Ct is the threshold cycle number. All assays were performed in triplicates. Statistical significance was calculated using student’s unpaired t-test.
Statistical analysis
Analysis of mRNA and miRNA data was performed using R statistical software and the Bioconductor Linear Model for Microarray Analysis (LIMMA) package in R [
48]. Background correction and normalization were performed in R using the normal-exponential correction method and quantile normalization between arrays [
49]. Only probes with intensities above background on at least one array were kept in the dataset for analysis. Transcripts with multiple probes were averaged such that the final set reflected best estimates of transcript level expression. A linear model was fit to each probe to assess differential expression for pair-wise dose comparisons within the heart-tissue samples. This method employed an empirical Bayes smoothing approach that results in more stable model estimates by using information on variance from the whole probe set, despite the small number of arrays. Models were developed for each of the pair-wise comparisons between each dose (1, 2, 4, 8, and 12 Gy) and the control probes (0 Gy), and resulting probes were filtered using log
2 fold change and adjusted p-value thresholds (|log
2FC| > 1, adjusted p-value < 0.05) [
50]. Additionally, a nested interaction model was fit for each probe to examine dose within tissue as a linear (continuous) trend. Each model yielded main effects for the heart tissue and dose within the heart tissue. Probes were filtered using the nested dose coefficients with log fold change and adjusted p-value thresholds (|log
2FC| > 1, adjusted p-value < 0.05). Finally, gene ontology analysis was utilized to identify affected pathways from the differentially expressed probes.
To identify potential interactions, paired analysis was conducted to evaluate correlative relationships between pairs of differentially expressed mRNA and miRNA probes. mRNA and miRNA probes were paired using shared target transcript Ensembl IDs [
51]. Probes that could not be mapped or paired were excluded. Transcripts for miRNA probes were identified using an Agilent microarray gene dataset and the TargetScan database; transcripts for mRNA probes were identified using an Agilent microarray gene dataset [
52]. Transcript-miRNA pairs with a TargetScan context++ score above − 1 were excluded. Probe pairs with differentially expressed miRNA and mRNA probes were identified within the heart tissue for continuous dose contrast models. Pearson correlation coefficients of miRNA and mRNA expression across all experiments were calculated and plotted for the differentially expressed probe pairs.
Ingenuity pathway analysis
Discussion
Normal tissue damage of the heart is a clinically relevant problem in both therapeutic and accidental exposure to radiation. A previous study highlighted the long term impact of radiation on male macaques, which showed significant myocardial fibrosis and smaller cardiac dimensions at 5.6–9.7 years post radiation exposure with 6.5–8.4 Gy [
65]. Historical data for macaques receiving TBI, the LD
50/30 post X-ray irradiation varies between 4.92 and 7.18 Gy [
66]. In contrast, LD
50/30 is approximately 7.2 Gy in female mice receiving TBI X-ray [
67]. Our study focused on short term (48 h) changes in gene expression after TBI doses in mice. Understanding mechanisms and markers of radiation injury at an early time-point following exposure can improve methods to mitigate long-term damage and death. Recent research in the radiation biodosimetry field indicates the importance of looking for alterations in multiple biomarkers rather than relying on a single marker [
68,
69]. To this end, we have identified changes in multiple mRNAs, miRNAs, and lncRNAs across doses to provide potential markers of tissue damage.
TBI dysregulates pathways relevant to cell cycle arrest, hemoglobin synthesis and immune response in the heart
The observed early changes in gene expression led to significant dysregulation of pathways commonly associated with radiation exposure, including cell cycle arrest, apoptosis, and senescence. The most significantly altered genes,
Cdkn1a and
Ckap2, are capable of inducing cell cycle arrest or apoptosis under stress conditions [
70,
71]. The observed upregulation of
Gdf15 and downregulation of
Aplnr are associated with stress induced senescence and have previously been reported as biomarkers of radiation exposure [
56,
72,
73]. The inversely correlated expression of miRNAs and their mRNA targets that are associated with these pathways provides insight into the potential mechanisms of acute effects of TBI and targets to mitigate acute and delayed effects on heart tissue. Prior research demonstrated miR-128 negatively regulated
Wee1 and
Tgfbr1, genes involved in mitotic inhibition [
74‐
76]. Additionally, miR-122 is known to increase radiation sensitivity and targets
Slca11 and
FAM117b [
77]. While little is known about the function of
Fam117b,
Slc7a11 downregulation is associated with RT-induced ferroptosis in tumor cells [
78,
79]. The miR-17-92 cluster represses
E2F1-3 to regulate cell proliferation and apoptosis, and includes miR-18a [
80]. A negative feedback loop has been observed within this cluster, as
E2F1 upregulates miR-17-92 which causes increased repression of the genes
E2F1-3 [
81]. Mechanistic studies are required to confirm the miRNA-mRNA interdependent functions in our data. Similarly, further research into lncRNA-mRNA functions are also needed. Acute lncRNA
Dino overexpression caused an increase in
Cdkn1a expression in cervical cancer cells [
82]. Our data suggests an interplay between both lncRNA
Dino and mRNA
Cdkn1a expression.
Anemia and decreased hemoglobin levels are a known side effect of RT [
83]. We observed decreased expression levels of genes relevant to hemoglobin synthesis.
Alas2, the rate limiting enzyme in heme synthesis, became increasingly downregulated as radiation dose increased. Similar downregulation of
Alas2 was recently cited as a potential predictive marker for radiation induced hematological toxicity in cancer patients [
60]. Other genes associated with hemoglobin synthesis, including
Hbb-bt,
Hbb-b1, and
Hba-a1, were also significantly, linearly downregulated (Additional file
3: Table S2).
Our pathway analysis also indicated inflammatory pathways are downregulated at higher dose levels at 48 h post-radiation. Of note, TBI induced significant downregulation of
Cx3cr1, which is known to induce recruitment of immune cells and an inflammatory response in smooth muscle and endothelial cells [
84]. Short-term data contrasts long-term in vivo data that showed upregulation of inflammatory markers in the heart of a mouse model 40 days post-irradiation [
17]. Additional studies that include intermediate timepoints are needed to clarify when the heart transitions from an anti-inflammatory to a pro-inflammatory response after radiation to enable improved treatment options.
Consistent with previous research [
85], our findings indicated inhibition of extrinsic and intrinsic prothrombic pathways that couple with inhibition of coagulation pathway after radiation exposure. Radiation is known to increase likelihood of coagulopathy, which can lead to death when untreated [
86]. We also observed downregulation of hemoglobin subunit beta (
Hbb) and hemoglobin subunit alpha (
Hba) (Additional file
3: Table S2). In combination with anemia, failure to clot produces hemostatic dysfunction and potential death, though the pathogenesis is poorly understood [
87]. Our research highlights these alterations in gene expression to provide insight into potential mechanisms of and therapeutic targets for acute radiation syndrome (ARS).
Retinoid X receptor and liver X receptor (RXR/LXR) activation is associated with protection against heart failure due to their role in improving glucose tolerance, decreasing lipid accumulation, and decreasing inflammation [
88]. RXR signaling has previously been shown to increase estradiol synthesis from pregnenolone [
89]. We observed that the estrogen and pregnenolone biosynthesis pathways are also inhibited. Inhibition of RXR/LXR and its downstream pathways coupled with inhibition of triacylglycerol degradation may indicate a deleterious increase in lipid accumulation within the heart.
Radiation induced lncRNA and miRNA provide potential insight into RIHD through signaling pathways
Previously, we reported the concomitant differential expression of p53-related lncRNAs such as
Pvt1,
Dino,
Trp3cor1 after TBI in a mouse model [
44]. In the current study, we observed significant alterations in abhydrolase domain containing 11, opposite strand (
Abhd11os),
Pvt1,
Trp3cor1,
Kalrn, linc-RNA activator of myogenesis (
Linc-RAM), lncRNA chr10:69819062-69871640_F and
Dino. Increased expression of
Abhd11os has previously been shown to decrease lesion size in a Huntington’s disease mouse model and the authors reported its crucial roles in neurodegenerative diseases [
90], but the exact mechanism is still unclear.
Linc-RAM encourages adult skeletal muscle stem cells to differentiate into skeletal muscle through myogenic differentiation (MyoD), which aids in muscle repair after injury [
91,
92]. While
Linc-RAM has not been directly associated with cardiomyocytes, MyoD-null dystrophin-null transgenic mice develop severe cardiomyopathy [
93].
Pvt1 has been associated with radiation resistance in cancer cells and cardiac hypertrophy in cardiomyocytes [
94‐
96]. Previous studies showed that
Pvt1 binds
Cdkn1a and miR-149-3p to suppress their activity in primary chondrocytes and Burkitt lymphoma Rajit cells, respectively [
97,
98]. In contrast,
Gdf15 is a downstream target of
Pvt1 and was positively regulated by the lncRNA in hepatocellular carcinoma cells [
99]. Our data indicates an increase in expression of
Pvt1, miR-149-3p,
Cdkn1a and
Gdf15 by 12 Gy, suggesting that the interactions between these noncoding and coding RNA must be further elucidated in normal tissue. Further, the clinical relevance of lncRNA chr10:69819062-69871640_F has yet to reported. With the observed significant expression changes across all doses of radiation, further studies are crucial to inform more conclusions about the role of this lncRNA in the heart’s response to radiation.
Prior research demonstrated the integral role that miRNAs play in cardiac fibrosis and proliferation as well as response to radiation injury [
100,
101]. We therefore anticipated changes in miRNA expression in heart tissue after TBI. Surprisingly, and possibly due to the early time point and stringent statistical analysis, we only observed significant upregulation of miRNAs at 1 Gy and 12 Gy. Among the up-regulated miRNAs, miR-149-3p has previously been implicated in multiple functions, including cell migration repression and metabolic modifications in A549 cells, a non-small cell lung carcinoma (NSCLC) model [
102]. Additionally, miR-211 has been demonstrated to decrease cell proliferation and metastasis in vitro in breast and renal cell carcinoma models [
103,
104], while miR-3960 has been implicated in calcification, decreased elasticity, and cardiac dysfunction in vascular smooth muscle cells of male C57BL/6 mouse aortas [
105]. Arterial calcification and valvular, ventricular, and diastolic dysfunction are well-known complications of RIHD disease [
106]. While the functions of certain miRNAs are not well understood, previous studies indicate that miR-8101 and miR-6538 are associated with heart failure [
107,
108].
TBI causes miRNA and mRNA expression changes that may indicate similar pathogenesis of end-stage heart failure
Upregulation of miR-149-3p is associated with inhibition of glucose metabolism. Its role as a therapeutic target to protect against diet-induced obesity and metabolic dysfunctions was shown previously in both colorectal cancer patients, tumors taken from colorectal cancer patients and male C57BL/6 J [
109,
110]
. In general, the observed changes in metabolism-related gene expression suggest that fatty acids are not being used for catabolism (Fig.
6B). Increasing doses of radiation appear to inhibit glucose oxidation through increased expression of
Pdk4, which uncouples glycolysis from oxidative phosphorylation by blocking pyruvate dehydrogenase (
Pdh), and decreased expression of
Acsm1 [
111,
112]. However, we also observed a significant downregulation of the transporter
Slc27a5, which would inhibit entry of fatty acids into the cell for anabolic or catabolic use. This could be a fatal side effect of IR exposure because the adult heart relies on fatty acid oxidation as its main source of energy production [
113]. Since
Lipe and
Pnpla2 were upregulated, the heart may be relying on internal stores of triacylglycerol to produce energy. Aside from
Acsm1, no overall changes in acyl-CoA synthetases were observed; these enzymes combine fatty acids with Coenzyme A for use in FAO or lipogenesis. We observed upregulation of
Acot1 which plays contradictory roles in FAO as it can separate long chain fatty acids from coenzyme A to decrease the available substrate pool [
114]. However, prior research indicates
Acot1 also increases FAO through activation of peroxisome proliferator-activated receptor α (
Ppar-α), which upregulates
Acad variants [
115‐
117]. We only observed an upregulation of
Acad10 and there was no significant change to
Ppar-α or other
Acad variants at 48 h after radiation. Furthermore, there was no change in expression of other genes within the FAO pathway. This inhibition of glucose oxidation paired with an apparent reliance on FAO and an increase in free fatty acids matches what is seen in some forms of end stage heart failure [
118,
119].
Gene expression changes in TBI C57Bl/6 match those identified in previous study of TBI Gottingen minipigs
A recent study from our lab reported survival predictive signatures inherent to heart, lung and liver in TBI Gottingen minipigs [
120]. Increased expression of
Pdk4 was significantly upregulated in the hearts of non-surviving (survived < 7 days post-TBI) minipigs. We also observed increased expression of
Pdk4 at 4–12 Gy radiation. As previously mentioned, the upregulation of
Pdk4 is associated with decreased glucose oxidation and potential failure of energy production. Hearts from these non-surviving minipigs showed a decrease in the Apelin signaling pathway when compared to survivors and sham animals. In the present study, we also observed inhibition of the Apelin signaling pathway starting at 2 Gy. Apelin signaling is important for endothelial cell proliferation and migration and has been shown to inhibit TGF-β induced cardiac fibrosis and senescence [
121]. Conversely, downregulation of Apelin has been linked to heart failure and ventricular dysfunction [
122]. Both these findings implicate centrality of the endothelial cell damage in radiation induced heart injury. Finding consistency between mouse and minipig studies indicates conservation of the radiation response across species, suggesting that rescuing the function of this pathway may prevent RIHD in humans as well.
Similarities in TBI-induced gene expression between heart and blood samples indicates potential biomarkers for effective triaging with radiation biodosimetry
Finding normal tissue injury markers in a less invasive way is warranted for clinical applications. From this perspective, we looked at the commonality of gene and lncRNA expression changes between heart tissue of the current study and mouse whole blood after TBI from a study previously published by our group [
44]. Interestingly, we detected few genes in common between both mouse heart tissue and whole blood. We focused on genes altered at 48 h after 8 Gy in whole blood and compared these alterations to changes found in our current study of mouse heart tissue. Significantly altered genes included
Cdkn1a,
Pmaip1,
H2Aa,
H2Ba1,
Cx3cr1,
Snca, and
Gm9992 (Additional file
10: Table S8). Another previous study from our lab indicated that
Pvt1 was significantly expressed in whole blood as early as 16 h after at least 2 Gy TBI, and was sustained until 48 h after TBI [
44]. Similarly, at 48 h post-TBI,
Trp53cor1 and
Dino were significantly upregulated in the whole blood of 12 Gy and 8 Gy TBI mice, respectively. We observed similar expression patterns of these lncRNAs in heart samples after 48 h.
We also compared the heart data to a previously reported in vitro study of gene expression changes in human coronary artery endothelial cells (HCAEC) at 24 h after 10 Gy of single dose radiation [
42]. The genes
Cdkn1a, growth differentiation factor 15 (
Gdf15), and DNA damage-inducible transcript 4 (
Ddit4/Redd1) have previously been reported as radiation markers [
72,
123,
124]. They showed concomitant upregulation in mouse heart tissue (Additional file
10: Table S8) and in HCAEC [
42]. Additionally, we noted the upregulation of hypoxia-inducible factor 3a (
Hif3a) and insulin-like growth factor 1 (
Igf1) in mouse heart tissue, whereas these two genes showed significant downregulation in HCAEC in vitro study. In rat cardiomyocytes,
Hif3a silencing led to increased cell viability and decreased necrosis after hypoxia challenge, suggesting decreased
Hif3a expression is cardioprotective [
125]. In a population study of elderly individuals, decreased serum
Igf1 expression was shown to be a risk factor for mortality after ischemic heart disease [
126]. These regulation inconsistencies may stem from differences between models, time points, and radiation dose rate between in vivo and in vitro experiments.
Future directions
With the use of thoracic RT and the continued risk of a large-scale nuclear exposure incident inadvertently causing potential damage to the heart, understanding the effects of IR exposure on critical organs such as the heart will improve patient outcomes. For clinical management, early biomarkers could be predictive of later damage, enabling alteration of the dose to the organs at risk, use of medical countermeasures, or implementation of an appropriate long-term medical management strategy. For a nuclear exposure incident, the dose will have been delivered such that the injury falls within delayed effects of acute radiation exposure (DEARE), but the mitigator and medical-management approach would still be relevant.
In addition to identifying blood-based signatures for rapid triaging, we are also working on identifying expression changes within organs (e.g., heart, lungs, liver) affected by radiation to predict both short- and long-term organ injury. It is therefore clinically relevant to determine the response of the markers to fractionated radiation and in the presence of pre-existing conditions. Palayoor et al. showed more pronounced miRNA and mRNA expression changes in an in vitro HCAEC model after multifractionated radiation compared to a single dose of radiation suggesting that we may see similar trends in vivo [
42]. Additionally, a study of acute lymphocytic leukemia patients that received six fractions of 2 Gy TBI showed a significant and sustained increase in blood-based
Cdkn1a after each fraction [
127]. Blood from these pediatric cancer patients also showed higher baseline levels of
Cdkn1a expression compared to healthy controls, demonstrating the importance of addressing the effects of confounding factors on expression changes. Recognizing that heart biopsies would not be a suitable method to triage patients in an exposure scenario, we are also currently investigating the short- and long-term circulating RNA response of non-human primates exposed to whole thorax irradiation. This would not only enable monitoring of organ-specific damage sustained during accidental exposures but would also have applications in predicting normal tissue toxicity as a side-effect of RT for the treatment of cancer.
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