Examining the Effects of Normal Ageing on Cortical Connectivity of Older Adults.

With the recent advancement in computer technology, we can extract the picture of the brain as a network. The aim of this study is to constructs large scale individual anatomical brain networks using regional gray matter cortical thickness from individual subject's magnetic resonance imaging (MRI) data, as well as to investigate changes with normal aging in global network organization. The dataset includes 183 healthy subjects sMRI data with an age range from 50 to 80 plus. For all brain networks, we calculated the global network measures and nodal network measures by using network analysis toolkit GRETNA. From global network measurements we calculated small-world measurements and network efficiency measurements, from nodal measurements we calculated node clustering coefficient (CC) and node efficiency at a wide-range of threshold values. All small world measurements showed more clustering at all the given threshold values than random networks and a alike least path length, indicative of that they were "small world". To analyze the effect normal ageing on networks organization, the networks of subjects were categorized into three age groups (50s, 60s, and 70 over). The global and nodal network measurements of each group were statistically analyzed to investigate the significant difference in network organization with in age groups. Results shows that the age has no significance effect in global measurements of brain network. However, by analysis the nodal measures of brain network between age group, network nodes from brain frontal lobe and temporal lobe showed age related significant difference. The results obtained from the proposed study suggest that this network method can deliver a concise network-level picture of brain organization and be used from the outlook of composite networks to investigate inter-individual variability in brain morphology.

Correlation Between Body Mass Index and Blood Pressure Levels Among Hypertensive Patients: A Gender-Based Comparison.

Objective Blood pressure (BP) has been found to rise among populations due to the high body mass index (BMI). Overweight and persons who have high BP are prone to develop heart diseases. The objective of this study was to evaluate the correlation between BMI and BP among hypertensive patients in both males and females aged 18 years and above. Methodology A cross-sectional study was carried out among patients with a self-reported history of hypertension and anti-hypertensive medication. After taking ethical approval, a total of 337 patients aged 18 or above were selected by using convenience sampling. The duration of the study was six months. A detailed history was taken from each patient about hypertension associated symptoms with the help of a self-designed questionnaire. The BMI of the patients was assessed. Statistical Package for Social Sciences (SPSS) Version 20.0 (IBM Corp., Armonk, NY, USA) was used to analyze the collected data. Spearman correlation was used, and p-value <0.05 was considered significant. Results In a total of 337 patients, the mean age of the patients was 45.87±13.38 years. In which 176 (52.2%) were males and 161 (47.8%) were females. Their mean BMI level was 26.83±5.83 kg/m2, and the mean systolic blood pressure level was 141.78±13.00 mm Hg whereas the diastolic blood pressure was 85.21±10.03 mm Hg. The results also showed that among males the BMI had a significant negative correlation with both systolic blood pressure level (ρ = -0.212, p = 0.011) and diastolic blood pressure level (ρ = -0.208, p = 0.013), while in females the correlation was insignificant. Conclusion Our study results concluded that the BMI of the patients had a significant weak negative correlation with both systolic blood pressure level and diastolic blood pressure level in males; however, no significant correlation was found in females.

Thiamine Level in Type I and Type II Diabetes Mellitus Patients: A Comparative Study Focusing on Hematological and Biochemical Evaluations.

Objective Diabetes has been found to be associated with low levels of thiamine stores in the body, as thiamine directly affects carbohydrate metabolism. Amplified renal clearance of thiamine has been found in both type I and type II diabetic patients. It has been shown that high-dose thiamine therapy may have a therapeutic effect on early-stage diabetic nephropathy. The aim of this study was to evaluate various biochemical parameters and serum thiamine levels in type I and type II diabetic patients and compare them with a healthy control group. Methods A case-control study was carried out in the diabetic out-patient multi-centers in Karachi. A total of 90 participants were selected by using a non-probability convenient sampling technique and divided into three groups, each with 30 subjects. Group A included healthy non-diabetic subjects, while group B included subjects with type I diabetes mellitus (DM), and group C included subjects with type II DM. After receiving informed consent, blood samples were collected from all the participants for hematological and biochemical evaluation. The duration of the study was eight months. Results The study results revealed that the patients with type II DM had significantly higher mean fasting blood sugar (FBS), random blood sugar (RBS), and hemoglobin A1c (HbA1c) levels than those with type I DM or the control group (p<0.001 for all). Furthermore, the patients with type I or II DM had significantly higher mean levels of triglyceride (p<0.001) and total cholesterol (0.013) while significantly lower mean levels of high-density lipoprotein (HDL) (p=0.014) than controls. The study results further revealed that the patients with type I or II DM had significantly lower serum thiamine levels than controls (14.89±4.82 and 7.35±1.90 vs. 69.56±12.75, p<0.001). Conclusion The study results revealed that FBS, RBS, HbA1c, triglyceride, and total cholesterol levels were significantly higher in both type I and type II diabetes patients compared to controls. Furthermore, HDL and serum thiamine levels were found to be significantly lower in both type I and type II diabetic patients than in controls.