https://docs.google.com/document/d/1uomSwzQe3eYEYgROtP2_rsJ0d1un3LPH9T2WEHmRXfo/edit?ts=58210f92 Materials and Methods The stool specimens and blood samples were collected from both 48 diabetic patients (between June 2009 and October 2009) and 24 healthy people (between July 2009 and October 2009). Patient group consisted of 22 to 82 years old 18 males and 30 females with 10 T1DM and 38 T2DM, whereas the control group had 25 to 76 years old 4 males and 20 females without diabetes or any acute/chronic gastrointestinal tract diseases. Blood samples were drawn between 7 and 10 a.m. after the fast, waited for the coagulation, and centrifuged for 15 min at 1,500g in the room temperature. Each serum was then aliquoted, stored in the -70 o C storage, and used for the assay of glucose, …show more content…
But sex (P = .07), age (P = .08), and BMI (P = .11) did not show any differences between two groups. The relationship between fecal PE levels and other parameters within the diabetic patient group were also analyzed, and sex, BMI, CRP, C-peptide, and lipase were positively correlated even though Spearman correlation coefficients showed low degree (between 0.25 and 0.50). The stepwise regression analysis was used to predict the concentration of PE with all variable, and the most significant variable were amylase, CRP, age, and BMI. All of them showed positive correlation with PE except age which showed negative correlation. Stepwise regression is an automated tool used in the exploratory stages of model building to identify a useful subset of predictors. The process systematically adds the most significant variable or removes the least significant variable during each
The insulin changed the plasma glucose levels by raising dramatically from fasting to the one hour mark, but by hour 3 it droped again to almost the same levels as fasting. The glucagon remained almost the same on throughout the levels except that it lowered a bit 1 hour after the meal.
Insulin changed the plasma glucose because after a meal the amount of insulin secreted into the blood will increase and that caused the plasma
Patients: N1 (female, age: 24, weight: 58kg); N2 (female, age: 26, weight: 65kg), N3 (female, age: 23, weight: 59kg), A3 (male, age: 29, weight: 99kg), C3 (male, age: 30, weight: 75kg), and A3 (female, age: 23, weight: 58kg). A colorimetric assay was employed to measure the levels of creatinine in serum and urine samples The measured creatinine concentration was anaylsed holistically by adjusting creatinine concentration by age, weight and gender, and hydration. Patient kidney function was measured by the glomerular filtration rate
low. Cells will not be able to process glucose for energy if the concentrations of oxygen in the blood are not
Plasma insulin concentration was at its lowest during the fasting time period. Concentration was about 68 during that time.
10.State a commercial use for biochemical testing as performed in this online laboratory. (5 points)
Glucose test was done by inoculating one glucose tube with the bacteria in the
History of present illness: 50 year old African American female presents to the clinic today to follow up on her Diabetes. Patient diagnosed with Diabetes in 2000. Last Diabetes checkup three months ago. Patient reports that she takes all of her medications as prescribed. Patient is currently on metformin and Lipitor. Patient denies any episodes of hypoglycemia. Patient denies experiencing symptoms of polyuria, polydipsia, and polyphagia. Patient reports that she has been checking her
In this report the focus will be the nutritional aspects of Type 2 Diabetes, although physical activity is a vital attribute to Type 2 Diabetes it will not be the main focus. This report will determine the modifiable and
Abstract: This lab was developed to investigate blood glucose and diabetes. Diabetes is a lifelong chronic disease in which there are high levels of sugar in the blood (Diabetes). The spectrophotometer was applied to this lab to determine the absorbance of blood glucose in diabetic and non-diabetic blood samples. In order to prove this, tests were conducted by taking the blood samples at different times right before a meal was eaten then 30, 60, 90, and 120 minutes after the meal. The 6 test tubes had been placed in the spectrophotometer to measure the absorbance of blood glucose in the diabetic and non-diabetic blood. It was hypothesized that people with diabetes will absorb more
It is often associated with cardiovascular diseases which cause an increase in the mortality of diabetic patients. According to Duran-Salgado & Rubio-Guerra (2014), Diabetic nephropathy occurs in nearly about one-third of patients that have type 1 Diabetes mellitus and around 25% of patients that have type 2 Diabetes mellitus. Diabetic nephropathy is usually characterized by glomerular hypertrophy, thickness of the basement, tubular and glomerular membranes and accumulation of extracellular matrix in these membranes that causes the tubulointerstitial and glomerular fibrosis and sclerosis. The two main risk factors for diabetic nephropathy are hyperglycemia and arterial hypertension, but the genetic susceptibility in both type 1 and type 2 diabetes is of great importance. Other risk factors included are smoking, dyslipidemia, proteinuria, glomerular hyperfiltration and dietary factors. Zelmanovitz et al. (2009) reported in their study that the prevalence of Diabetic nephropathy varies according to ethnicity as the results indicate that it is higher or more common in African-Americans, Asians and Native-Americans than in
One of the diseases is diabetes mellitus which is a major cause of renal failure. This disease can be defined as an increase of fasting blood glucose that is affected by a deficiency in insulin hormone. The normal range for glucose (fasting) in the blood is 2.8-6.0 mmol/L. It is classified into two groups, type 1 (insulin-dependent diabetes mellitus) and type 2 (non insulin-dependent diabetes mellitus). Stein (2008, p.6) points out that kidney failure happens most often when patients have suffered from diabetes mellitus for more than 10 years. According to United States Renal Data System (USRDS) report in 2007, approximately 44% of primary causes of renal failure is diabetes mellitus in the United States in 2005. Also, Stein (2008) indicates that 15% of dialysis patients are influenced by diabetes mellitus in the United Kingdom. Diabetes mellitus has negative affects throughout the kidneys where the increase of the range of blood sugar causes the damages to the cells in the kidneys. This leads to the presence of the glucose in the urine which is known as glycosuric.
After using the AIC selection process, any insignificant variables which were selected by step-wise regression were manually removed from the model.
This was a cohort study, in which the participants were followed from 1980 to 2002, or 54,656 person years of follow-up. Person years is a measurement combining the number of persons and their time contribution in a study. It is the addition of individual units of time that the participants in the study population have been exposed or at risk to the conditions of interest. The participants in this study were women with type 2 diabetes with ages ranging from 52.8 +/- 8.5 and 55.4 +/- 9.9. Other characteristics that were assessed were BMI, physical activity, alcohol consumption, duration of diabetes, family history of myocardial infarction, hypertension, hypercholesterolemia, hormone use among premenopausal women, multivitamin use, vitamin E use, Aspirin use, energy intake, cereal fiber, polyunsaturated fat, monounsaturated fat, saturated fat, trans fat, glycemic load, red meat, and fruit and vegetable consumption. To participate in this study the women had to have diabetes and also had to complete a food frequency questionnaire every 2-4
Contrary to our findings, this study’s analysis provided evidence for sex differences that could contributions to an energy balance, patterns of EI and weight changes. However, this study has used different methodologies and subject group to carry out their investigation which may have led to this variance in results.