scholarly journals Clinical and biological risk factors associated with inflammation in patients with type 2 diabetes mellitus

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Mohammed S. Ellulu ◽  
Hanen Samouda
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Fasting Blood Glucose ◽  
Cross Sectional ◽  
Biological Risk ◽  
Factors Associated

Abstract Background Chronic inflammation has been associated with insulin resistance and related metabolic dysregulation, including type 2 diabetes mellitus (T2DM). Several non modifiable (i.e. genetic predisposition) and modifiable (i.e. sedentary lifestyle, energy-dense food) risk factors were suggested to explain the mechanisms involved in the development of inflammation, but are difficult to assess in clinical routine. The present study aimed to identify easy to asses clinical and biological risk factors associated with inflammation in patients with T2DM. Methods One hundred nine patients (51 men, 58 women), 28–60 years old, from seven primary healthcare centers in Gaza City, Palestine, took part to the cross-sectional study (November 2013–May 2014). Study participants had T2DM with no history of inflammatory diseases, cardiovascular diseases, medication and/or any health condition that might affect the inflammatory markers, interleukin 6 (IL-6) and C-reactive protein (CRP). Inflammation was defined for IL-6 ≥ 2 pg/mL and CRP ≥ 6 mg/L. Multivariable logistic regressions were used to identify the relationship between inflammation and clinical and biological risk factors. Results After adjustment for age and gender, inflammation seems to increase with increased body mass index (BMI) (OR: 1.427 [1.055–1.931]), increased fasting blood glucose (OR: 1.029 [1.007–1.052]) and decreased adiponectin values (OR: 0.571 [0.361–0.903]). There were also significant relationships between inflammation and BMI (OR: 1.432 [1.042–1.968]), fasting blood glucose (OR: 1.029 [1.006–1.052]) and adiponectin (OR: 0.569 [0.359–0.902]), after adjustment for smoking habits and physical activity. Conclusion Managing obesity and associated complications (i.e. hyperglycemia, high adiponectin levels) might help decreasing inflammation in individuals with T2DM.

scholarly journals Hubungan Antara Tingkat Stres Dan Kadar Glukosa Darah Puasa Penderita Diabetes Melitus Tipe 2 Di Kecamatan Maos

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Esti Oktaviani Purwasih
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Stress Level ◽  
Fasting Blood Glucose ◽  
P Value ◽  
Cross Sectional ◽  
Diabetes Melitus

ABSTRAKDiabetes melitus (DM) tipe 2 yaitu penyakit gangguan metabolik ditandai kenaikan gula darah karena penurunan sekresi insulin oleh sel beta pankreas dan atau ganguan resistensi insulin.Penelitian ini bertujuan untuk mengidentifikasi hubungan antara kadar glukosa darah puasa dengan tingkat stres pada penderita diabetes melitus (DM) tipe 2. Jenis penelitian adalah deskriptif korelasi dengan pendekatan cross sectional. Variabel independen dalam penelitian ini yaitu tingkat stres. Sedangkan variabel dependen dalam penelitian ini yaitu kadar glukosa darah puasa. Penelitian dilakukan di Puskesmas Maos dan Klinik Graha Amanah Maos bulan Maret 2017. Sampel diambil dengan total sampling, berjumlah  60 responden yang menderita DM tipe 2 minimal 1 tahun, memiliki kadar GDP 130 mg/dl, dan tidak memiliki penyakit komplikasi seperti gagal ginjal kronis, dan kanker.Hasil analisis data menggunakan spearman rho didapatkan tidak terdapat hubungan antara kadar glukosa darah puasa dan tingkat stres (p value = 0,137). Kata Kunci: Diabetes Mellitus Tipe 2, Glukosa Darah Puasa, Tingkat Stres. ABSTRACTType 2 diabetes mellitus (DM ) is a metabolic disease that characterized by an increasing of  blood  glucose because of decreasing insulin secretion by pancreatic beta cells and or insulin resistance disorders.This research aimed to identify the relationship between fasting blood glucose (FBG) level and stress level in patients with  type 2 diabetes mellitus (DM). The research design was descriptive correlation with cross sectional approach. The independent variable in this study was stress level. The dependent variable in this study was fasting blood glucose level. The study was at Maos Community Health Center and Graha Amanah Clinic in March 2017.The sample was total sampling. These were 60 respondents who diagnosed  type 2 diabetes mellitus at least 1 year, had FBG level 130 mg / dl, and did not have complications such as chronic kidney failure , and cancer.The results of data analysis by using spearman rho found that there was no correlation between fasting blood glucose level and stress level (p value = 0.137). Keywords: Type 2 Diabetes Mellitus, Fasting Blood Glucose, Stress Level.

ASSESSMENT OF DEMENTIA IN THE TYPE 2 DIABETES BY MOCA

2017 ◽  
pp. 35-44
Author(s):  
Dinh Toan Nguyen
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Sensitivity ◽  
Cross Sectional ◽  
Average Value ◽  
Lifestyle Risk ◽  
Diabetes Mellitus Risk

Background: Studies show that diabetes mellitus is the greatest lifestyle risk factor for dementia. Appropriate management and treatment of type 2 diabetes mellitus could prevent the onset and progression of mild cognitive impairment to dementia. MoCA test is high sensitivity with mild dementia but it have not been used and studied widespread in Vietnam. Aim: 1. Using MoCA and MMSE to diagnose dementia in patients with type 2 diabetes mellitus. 2. Assessment of the relationship between dementia and the risk factors. Methods: cross-sectional description in 102 patients with type 2 diabetes mellitus. The Mini-Mental State Examination(MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess cognitive function. The diagnosis of dementia was made according to Diagnostic and Statistical Manual of Mental Disorders. Results: The average value for MoCA in the group of patients with dementia (15.35 ± 2.69) compared with non-dementia group (20.72 ± 4.53). The sensitivity and specificity of MoCA were 84.8% and 78.3% in identifying individuals with dementia, and MMSE were 78.5% and 82.6%, respectively. Using DSMIV criteria as gold standard we found MoCA and MMSE were more similar for dementia cases (AUC 0.871 and 0.890). The concordance between MoCA and MMSE was moderate (kappa = 0.485). When considering the risk factors, the education,the age, HbA1c, dyslipidemia, Cholesterol total related with dementia in the type 2 diabetes. Conclusion: MoCA scale is a good screening test of dementia in patients with type 2 diabetes mellitus.When compared with the MMSE scale, MoCA scale is more sensitive in detecting dementia. Key words: MoCA, dementia, type 2 diabetes mellitus, risk factors

Epigenetic modulation of autophagy genes linked to diabetic nephropathy by administration of isorhamnetin in Type 2 diabetes mellitus rats

Epigenomics ◽  
2021 ◽  
Author(s):  
Marwa Matboli ◽  
Doaa Ibrahim ◽  
Amany H Hasanin ◽  
Mohamed Kamel Hassan ◽  
Eman K Habib ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Fasting Blood Glucose ◽  
Light And Electron Microscopy ◽  
Lipid Profiles ◽  
Mirna Regulation ◽  
Protein Levels

Aim: To assess isorhamnetin efficacy for diabetic kidney disease in a Type 2 diabetes mellitus rat model, through investigating its effect at the epigenetic, mRNA and protein levels. Materials & methods: Type 2 diabetes mellitus was induced in rats by streptozotocin and high-fat diet. Rats were treated with isorhamnetin (50 mg/kg/d) for 4 or 8 weeks. Fasting blood glucose, renal and lipid profiles were evaluated. Renal tissues were examined by light and electron microscopy. Autophagy genes ( FYCO1, ULK, TECPR1 and  WIPI2) and miR-15b, miR-34a and miR-633 were assessed by qRT-PCR, and LC3A/B by immunoblotting. Results: Isorhamnetin improved fasting blood glucose, renal and lipid profiles with increased autophagosomes in renal tissues. It suppressed miRNA regulation of autophagy genes Conclusion: We propose a molecular mechanism for the isorhamnetin renoprotective effect by modulation of autophagy epigenetic regulators.

Prevalence of Toenail Onychomycosis in Patients with Type 2 Diabetes Mellitus and Evaluation of Risk Factors

2011 ◽  
Vol 101 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Aynur Gulcan ◽  
Erim Gulcan ◽  
Sukru Oksuz ◽  
Idris Sahin ◽  
Demet Kaya
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Fasting Blood Glucose ◽  
Diabetic Patients ◽  
Essential Components ◽  
Patients With Diabetes ◽  
Epidemiologic Risk

Background: We sought to determine the frequency of toenail onychomycosis in diabetic patients, to identify the causative agents, and to evaluate the epidemiologic risk factors. Methods: Data regarding patients’ diabetic characteristics were recorded by the attending internal medicine clinician. Clinical examinations of patients’ toenails were performed by a dermatologist, and specimens were collected from the nails to establish the onycomycotic abnormality. All of the specimens were analyzed by direct microscopy and culture. Results: Of 321 patients with type 2 diabetes mellitus, clinical onychomycosis was diagnosed in 162; 41 of those diagnoses were confirmed mycologically. Of the isolated fungi, 23 were yeasts and 18 were dermatophytes. Significant correlations were found between the frequency of onychomycosis and retinopathy, neuropathy, obesity, family history, and duration of diabetes. However, no correlation was found with sex, age, educational level, occupation, area of residence, levels of hemoglobin A1c and fasting blood glucose, and nephropathy. The most frequently isolated agents from clinical specimens were yeasts. Conclusions: Long-term control of glycemia to prevent chronic complications and obesity and to promote education about the importance of foot and nail care should be essential components in preventing onychomycosis and its potential complications, such as secondary foot lesions, in patients with diabetes mellitus. (J Am Podiatr Med Assoc 101(1): 49–54, 2011)

Sign in / Sign up

Export Citation Format

Share Document