Protective role of vitamin B6 (PLP) against DNA damage in Drosophila models of type 2 diabetes.
Chiara MeriglianoElisa MascoloMattia La TorreIsabella SaggioFiammetta VerniPublished in: Scientific reports (2018)
Growing evidence shows that improper intake of vitamin B6 increases cancer risk and several studies indicate that diabetic patients have a higher risk of developing tumors. We previously demonstrated that in Drosophila the deficiency of Pyridoxal 5' phosphate (PLP), the active form of vitamin B6, causes chromosome aberrations (CABs), one of cancer prerequisites, and increases hemolymph glucose content. Starting from these data we asked if it was possible to provide a link between the aforementioned studies. Thus, we tested the effect of low PLP levels on DNA integrity in diabetic cells. To this aim we generated two Drosophila models of type 2 diabetes, the first by impairing insulin signaling and the second by rearing flies in high sugar diet. We showed that glucose treatment induced CABs in diabetic individuals but not in controls. More interestingly, PLP deficiency caused high frequencies of CABs in both diabetic models demonstrating that hyperglycemia, combined to reduced PLP level, impairs DNA integrity. PLP-depleted diabetic cells accumulated Advanced Glycation End products (AGEs) that largely contribute to CABs as α-lipoic acid, an AGE inhibitor, rescued not only AGEs but also CABs. These data, extrapolated to humans, indicate that low PLP levels, impacting on DNA integrity, may be considered one of the possible links between diabetes and cancer.
Keyphrases
- type diabetes
- induced apoptosis
- dna damage
- wound healing
- circulating tumor
- papillary thyroid
- cell free
- cell cycle arrest
- single molecule
- glycemic control
- electronic health record
- blood glucose
- big data
- cardiovascular disease
- squamous cell
- physical activity
- cell death
- signaling pathway
- high glucose
- squamous cell carcinoma
- diabetic rats
- copy number
- dna repair
- dna methylation
- cell proliferation
- drug induced
- case control
- endothelial cells
- childhood cancer
- smoking cessation
- stress induced
- deep learning
- data analysis