الفهرس 
Introduction and aim of the workOnly 14 pages are availabe for public view
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Abstract
In T1DM and T2DM, degrees of cognitive impairment have been noticed in many domains. The underlying mechanism of diabetic cognitive dysfunction is complex but likely involves hyperglycemia, insulin resistance, increased oxidative stress, and inflammatory pathways. Determining the mechanism of impaired cognitive skills in diabetes is crucial for developing new approaches to therapy.
Diabetes is a chronic disease that can lead to more complications as cognitive impairment. Cognitive impairment with diabetic patients can impair daily functioning and reduce quality of life. There are individual effect of diabetes and depression on the serum level of inflammatory mediators as C-R.P, TNF- α.
Education and physical activity play a protective effect on cognitive function, resist cognitive decline and adapt brain to age – related changes.
Vitamin B. Complex supplementation has a beneficial effect on cognitive function, by enhancing energy metabolism, reducing oxidative stress and promoting the production of neurotransmitters.
MoCA test isn’t sensitive for measuring cognition with inflammatory mediators in elderly diabetic patients.
MADRS test is significant test for measuring depression with inflammatory mediators [TNF-α , C – R.P ] in elderly diabetic patients.
Anti- diabetic agent [metformin] is a treatment of diabetes may effect on cognition in elderly patients.
There is not significant correlation between cognitive function and various laboratory data as TGs, HDL, LDl, Total chol., glucose level, creatinine & inflammatory mediators as [ C- R.P & T.N. F- α ].In conclusion, the present study demonstrated that the joint effect of diabetes and depression is significant on CRP and TNF-α, while the individual effects of diabetes and depression on CRP and depression on TNF-α were also significant. However, it is important to note that the future study should have: 1st, the study was cross-sectional, which limits the ability to draw causal inferences. 2nd, the study sample was relatively small, which may have limited the power to detect small but significant correlations. 3rd, the study did not control for potential confounding variables, such as medication use, comorbid conditions, and lifestyle factors, which may have influenced the results.