In Vivo Assessments of Mesoblastic Nephroma (Ne/De) and Myelomonoblastic Leukaemia (My1/De) Tumour Development in Hypercholesterolemia Rat Models.
Zita KépesAlexandra BarkócziJudit P SzabóIbolya Kálmán-SzabóViktória AratóIldikó GaraiPéter ÁrkosyIstván JószaiÁdám DeákIstván KertészIstván HajduGyörgy TrencsényiPublished in: International journal of molecular sciences (2022)
Given the rising prevalence of lipid metabolic disorders and malignant diseases, we aimed to establish an in vivo hypercholesterinaemic tumour-bearing rat model for the induction and assessment of these conditions. A normal standard CRLT/N, 2 (baseline),- or 4 (2 + 2, pretreated)-week-long butter and cholesterol rich (BCR) diet was applied to mesoblastic nephroma (Ne/De) and myelomonoblastic leukaemia (My1/De) tumour-bearing and healthy control Long-Evans and Fischer 344 rats. The beginning of chow administration started in parallel with tumour induction and the 2 weeks of pre-transplantation in the baseline and pretreated groups, respectively. Fourteen days post-inoculation, the measurement of lipid parameters and [ 18 F]F-FDG PET/MRI examinations was executed. The comparable lipid status of baseline healthy and tumorous rats proves that regardless of tumour presence, BCR-based hypercholesterolemia was achieved. A higher tumour mass among pretreated tumorous animals was found when compared to the control groups ( p < 0.05, p < 0.01). Further, a visually greater [ 18 F]F-FDG accumulation was observed in pretreated BCR tumorous animals; however, the quantitative data (SUV mean : 9.86 ± 0.98, 9.68 ± 1.24; SUV max : 19.63 ± 1.20; 17.56 ± 3.21 for Ne/De and My1/De, respectively) were not statistically significantly different from those of the CRLT/N tumorous rats (SUV mean : 8.40 ± 1.42, 7.22 ± 1.06 and SUV max : 15.99 ± 2.22, 12.46 ± 1.96 for control Ne/De and My1/De, respectively). Our model seems to be appropriate for simultaneously investigating hypercholesterolemia and cancer in the same rat.
Keyphrases
- acute lymphoblastic leukemia
- pet ct
- tyrosine kinase
- pet imaging
- magnetic resonance imaging
- cardiovascular events
- low density lipoprotein
- stem cells
- fatty acid
- chronic myeloid leukemia
- risk factors
- cardiovascular disease
- type diabetes
- bone marrow
- electronic health record
- high resolution
- big data
- papillary thyroid
- contrast enhanced
- artificial intelligence
- cell therapy
- study protocol
- childhood cancer