scholarly journals Serum Human Epididymis Protein 4 Level is Associated with Cognitive Function in Patients with Diabetes Mellitus

2020 ◽  
Vol Volume 13 ◽  
pp. 3919-3924
Author(s):  
Fengfeng Bai ◽  
Tao Li ◽  
Baozhu Li ◽  
Xiaozheng Li ◽  
Lifeng Zhu
2021 ◽  
pp. 209-219
Author(s):  
Susy Puspasari ◽  
Endar Andrianto

Cognitive decline in diabetes mellitus is not fully understood, though is generally ascribed to blood sugar levels exceeding normal (hyperglycemia), hypoglycemia conditions and insulin resistance. Cognitive function consists of aspects of memory, attention, executive function, perception, language, and psychomotor functions which affect the decline in cognitive function, especially in people with Diabetes Mellitus. This study aims to summarize the results of research on cognitive function in people with Diabetes Mellitus. The research method used was a literature review with an assessment using JBI critical appraisal tools. Articles were sourced via the PubMed database and Google Scholar using the search term ‘Cognitive Function AND Diabetes Mellitus’. The inclusion criteria were studies with quantitative design, full text, a population comprised of patients with Diabetes Mellitus, written in Indonesian or English. Six articles were reviewed, all the results state that patients with Diabetes Mellitus experienced a decrease in cognitive function, especially in the Executive Function, Visuospatial, and the Memory Domains.   Keywords: Cognitive function, Diabetes mellitus, Literature review


2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Miaomiao Zhang ◽  
Bing Zhao ◽  
Jing Xie ◽  
Yan Liang ◽  
Zaixing Yang

Human epididymis protein 4 (HE4) is an available tumor biomarker mainly for detecting ovarian cancer. However, it is unknown whether it can be a novel indicator for diagnosis of diabetic kidney disease (DKD). The aim of this study was to investigate the possibility of serum HE4 as a novel biomarker for DKD in patients with type 2 diabetes mellitus (T2DM). We enrolled 236 patients with T2DM and 82 healthy individuals. Serum HE4 was detected by ARCHITECT i2000 and compared between T2DM patients and healthy controls. The relationships between various variables and HE4 were analyzed by univariate or multivariate linear regression analyses. The receiver operating characteristic (ROC) curve was constructed to assess the diagnostic performance of HE4 for DKD. The association between HE4 and DKD was analyzed by logistic regression analysis. The serum HE4 level was significantly increased in T2DM patients (median, interquartile range (IQR), 69.7, 46.5–153.9, pM) compared with healthy control (median, IQR, 40.3 33.2–46.3, pM) (P<0.001). Furthermore, it was higher in those with DKD (median, IQR, 211.1, 141.6–367.4, pM) than those without DKD (median, IQR, 55.5, 42.7–79.6, pM) (P<0.001). The multivariable analysis showed that age, eGFR, HDL, CRP, and urea significantly independently correlated with HE4 level, while other variables did not. The ROC curve showed that the diagnostic performance of serum HE4 for DKD with 82.9 pM as the optimal cutoff value was good (AUC = 0.917, 95% CI: 0.872–0.961, P<0.001, with a sensitivity and specificity of 92.1% and 76.9%, respectively) in T2DM patients. Multivariable logistic regression analysis showed that increased HE4 level was a significant, independent risk factor for DKD (OR, 95% CI, 57.7, 3.0–1112.9, P<0.001) after adjusting for factors associated with HE4. Increased serum HE4 level is associated with decreased renal function and increased risks of DKD in patients with DM. It displays a good diagnostic value for DKD.


2012 ◽  
Vol 3 ◽  
pp. S142 ◽  
Author(s):  
G.I. Prada ◽  
I.D. Alexa ◽  
I.G. Fita ◽  
M. Gaiculescu ◽  
R. Nacu ◽  
...  

2015 ◽  
Vol 14 (3) ◽  
pp. 329-340 ◽  
Author(s):  
Paula S Koekkoek ◽  
L Jaap Kappelle ◽  
Esther van den Berg ◽  
Guy E H M Rutten ◽  
Geert Jan Biessels

2012 ◽  
Vol 153 (9) ◽  
pp. 323-329 ◽  
Author(s):  
Barbara Szémán ◽  
Géza Nagy ◽  
Tímea Varga ◽  
Anna Veres-Székely ◽  
Mária Sasvári ◽  
...  

Patients with diabetes are approximately 1.5 times more likely to experience cognitive decline than individuals without diabetes mellitus. Most of the data suggest that patients with diabetes have reduced performance in numerous domains of cognitive function. In patients with type 1 diabetes, specific and global deficits involving speed of psychomotor efficiency, information processing, mental flexibility, attention, and visual perception seem to be present, while in patients with type 2 diabetes an increase in memory deficits, a reduction in psychomotor speed, and reduced frontal lobe (executive) functions have been found. The complex pathophysiology of changes in the central nervous system in diabetes has not yet been fully elucidated. It is important to consider the patient’s age at the onset of diabetes, the glycemic control status, and the presence of diabetic complications. Neurological consequences of diabetes appear parallel to those observed in the aging brain. Neuroimaging studies highlight several structural cerebral changes, cortical and subcortical atrophy, beside increased leukoaraiosis that occurs in association with diabetes. There is supporting evidence from many hypotheses to explain the pathophysiology of cognitive decline associated with diabetes. The main hypotheses pointing to the potential, implied mechanisms involve hyperglycemia, hypoglycemia, microvascular disease, insulin resistance, hyperinsulinism, hyperphosphorylation of tau protein, and amyloid-β deposition. Orv. Hetil., 2012, 153, 323–329.


Author(s):  
N. Zherdоva ◽  
B. Mankovsky

Many studies focus on the effect of compensation of diabetes, glucose-lowering therapy of choice, the influence of cardio - vascular diseases in the state of cognition. At the same time, not enough attention is paid to cognitive impairment in patients with type 1 diabetes mellitus, especially young people. The aim of our study was to investigate the prognostic factors of dementia in patients with type 1 diabetes mellitus are younger. 33 patients were examined with type 1 diabetes and 10 people in the control group. Of the 33 patients with diabetes, 21 people had hypoglycemia in the last 3 months and 12 without hypoglycemic states. To identify depression used two questionnaires: Centre for Epidemiologic Studies Depression Scale (CES-D) and the Hospital Anxiety and Depression Scale (HAD). Evaluation of cognitive impairment was conducted using the following methods: The test "5 words", sample Schulte, the scale of assessment of mental status ( MMSE), test battery on the frontal dysfunction (BLD), evaluation of test o’clock. To reveal the 10-year risk of dementia patients used the scale which was developed by a team of researchers at Utrecht University Medical Rudolf Magnus. In patients with type 1 diabetes with hypoglycemia marked deterioration in cognitive function, according to the neuropsychological tests, namely the BLD and MMSE compared with  patient without hypoglycemia. The risk of developing dementia over 10 years in patients with diabetes mellitus type 1 young up 2.2 times compared with patients without hypoglycemia. Hypoglycemic state is the main risk factor that leads to the development of cognitive impairment, and this is a factor which can be influenced by insulin properly selected.


Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. P07.039-P07.039
Author(s):  
L. M. Chen ◽  
H. Y. Zheng ◽  
Y. T. Wang ◽  
W. B. Zheng

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