Circulating MiRNA-195-5p and -451a in Diabetic Patients with Transient and Acute Ischemic Stroke in the Emergency Department.
Mauro GiordanoMaria Consiglia TrottaTiziana CiarambinoMichele D'AmicoMarilena GaldieroFederico SchettiniDiego PaternostoMarta SalzilloRoberto AlfanoVincenzo AndreoneLorenzo Salvatore MalatinoGianni BioloGiuseppe PaolissoLuigi Elio AdinolfiPublished in: International journal of molecular sciences (2020)
(1) Background: Circulating micro-RNAs (miRNAs) modulate the expression of molecules in diabetes. We evaluated the expression of serum miRNA-195-5p and -451a in diabetic patients with ischemic stroke and correlated them with two markers of brain tissue integrity. (2) Methods: Seventy-eight subjects with acute ischemic stroke (AIS) or transient ischemic attack (TIA) (40 with diabetes) were enrolled. Serum miRNA levels, brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor A (VEGF-A) were assessed at admission and 24 and 72 h after a post-ischemic stroke, and were compared to 20 controls. (3) Results: Both circulating miRNAs were two-fold up-regulated in diabetic AIS and TIA patients compared to non-diabetics. Their levels progressively decreased at 24 and 72 h in both AIS and TIA patients. Interestingly, in the non-diabetic TIA group, both circulating miRNAs, although higher than the controls, tended to achieve a complete decay after 72 h. Furthermore, miRNA-195-5p and miRNA-451a levels inversely correlated with both BDNF and VEGF-A serum levels. (4) Conclusions: These data show a different profile of both micro-RNAs in diabetic versus non-diabetic patients after acute ischemic stroke, suggesting their pivotal role in cerebrovascular ischemic attack.
Keyphrases
- acute ischemic stroke
- type diabetes
- vascular endothelial growth factor
- emergency department
- end stage renal disease
- ejection fraction
- wound healing
- chronic kidney disease
- newly diagnosed
- poor prognosis
- cerebral ischemia
- cardiovascular disease
- prognostic factors
- endothelial cells
- glycemic control
- peritoneal dialysis
- atrial fibrillation
- brain injury
- oxidative stress
- metabolic syndrome
- electronic health record
- subarachnoid hemorrhage
- long non coding rna
- transcription factor
- deep learning
- patient reported outcomes
- adipose tissue
- artificial intelligence
- white matter
- functional connectivity